Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study...
Transcript of Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study...
![Page 1: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/1.jpg)
Master thesis defence
Author: Juraj Murcko, MSc. Cartography Supervisors: Prof.Dr.habil. Elmar Csaplovics Dr. Mustafa Mahmoud El-Abbas Consultant: Mgr. Tomáš Bartaloš (GISAT s.r.o.)
![Page 2: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/2.jpg)
Agenda
Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion
31. 3. 2017 Juraj Murcko, MSc. Cartography 2
![Page 3: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/3.jpg)
Introduction
Remote Sensing data – important source of information for studying urban environments
Satellite, aerial imagery Image analysis Classification, land use / land cover (LULC) Quantitative (e.g. vegetation) analysis, spectral
indices, hyperspectral analysis Spatial indicators, land statistics (e.g. greeness,
imperviousness, built-up density) Spatial data extraction (image classification,
OBIA)
31. 3. 2017 Juraj Murcko, MSc. Cartography 3
![Page 4: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/4.jpg)
Background
Built-up density: proportion of built-up surface on the total surface of an area Indicator of urban growth Often related to population density Can be calculated on a regular grid,
administrative units, parcels, other area units
1 value - not representative, if the area is not homogeneus
31. 3. 2017 Juraj Murcko, MSc. Cartography 4
![Page 5: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/5.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 5
Various spatial distribution of built-up structures within an area unit (road enclosed segments)
![Page 6: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/6.jpg)
Master Thesis Objective
To develop, implement and describe a semi-automated object-based image classification approach for mapping built-up areas from VHR imagery and classification of built-up density within blocks of broader built-up areas that are homogeneous in their urban fabric.
These blocks are not a priori defined, but instead should be created based on the remote sensing image data itself.
31. 3. 2017 Juraj Murcko, MSc. Cartography 6
![Page 7: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/7.jpg)
Object-based Image Analysis
OBIA – object-based image analysis Image segmentation + image analysis + image
classification Analysis of image objects (vs pixels) Image object features (spectral, textural, spatial)
and relationships Image object level hierarchy (sub-objects,
neighboring objects, super-objects) OBIA classification – supervised vs. Rule-based Rule Set development
potentialy transferable to other images
31. 3. 2017 Juraj Murcko, MSc. Cartography 7
![Page 8: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/8.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 8
Image Object Level Hierarchy
Source: eCognition Reference Book
![Page 9: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/9.jpg)
Study area and DATA
2 different urban areas different urban morphology, surfaces, materials testing Rule Set transferability
Prague, Czech Republic suburban / rural area – built-up, parks, forests,
lakes, agricultural land Mandalay, Myanmar central urban area –dense, perpendicular roads
31. 3. 2017 Juraj Murcko, MSc. Cartography 9
![Page 10: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/10.jpg)
Prague, Czech Republic
31. 3. 2017 Juraj Murcko, MSc. Cartography 10
![Page 11: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/11.jpg)
Mandalay, Myanmar
31. 3. 2017 Juraj Murcko, MSc. Cartography 11
![Page 12: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/12.jpg)
Input DATA
VHR Image WorldView-2 - Prague
VHR Image Pléiades - Mandalay
31. 3. 2017 Juraj Murcko, MSc. Cartography 12
![Page 13: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/13.jpg)
OpenStreetMap road network for the respective areas (Prague, Mandalay subsets) Used in segmentation
Landsat 8 scene for the respective areas (Prague, Mandalay subsets)
31. 3. 2017 Juraj Murcko, MSc. Cartography 13
![Page 14: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/14.jpg)
Software
eCognition Developer – OBIA - Rule Set development
ArcMap – Data management, visualisation ENVI - Atmospheric correction (QUAC),
Accuracy assessment
31. 3. 2017 Juraj Murcko, MSc. Cartography 14
![Page 15: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/15.jpg)
eCognition Developer
31. 3. 2017 Juraj Murcko, MSc. Cartography 15
![Page 16: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/16.jpg)
Pre-processing
Atmospheric correction of the VHR images QUick Atmospheric Correction – QUAC (ENVI)
Bit-depth conversion from 16bit to 8bit
Geometric corrections georeferencing, co-registration, spatial
adjustment Clipping
to area of interest extent
31. 3. 2017 Juraj Murcko, MSc. Cartography 16
![Page 17: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/17.jpg)
Rule Set development
Developing image processing workflow for built-up density analysis
Using algorithms, segmentation, image analysis, classicication, refinement, post-processing, export
Implemented in Cognition Network Language within eCognition Developer software
31. 3. 2017 Juraj Murcko, MSc. Cartography 17
![Page 18: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/18.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 18
![Page 19: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/19.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 19
NDVI
NDWI
Sobel L8_BAEI
![Page 20: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/20.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 20
Result of first segmentation – Chessboard Segmentation on pixel level using OSM road network – creation of ROAD_SEGMENT level
Segmentation by road network (Chessboard segmentation)
![Page 21: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/21.jpg)
Result of Multiresolution Segmentation and creation of LC_ANALYSIS level
31. 3. 2017 Juraj Murcko, MSc. Cartography 21
Multiresolution segmentation – Parameters: Scale : 20, Shape 0.8, Compacstness: 0.2
![Page 22: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/22.jpg)
Classified image objects at the LC_ANALYSIS level (yellow=built-up, green=vegetation, blue=water, purple=shadow, no color=unclassified)
31. 3. 2017 Juraj Murcko, MSc. Cartography 22
![Page 23: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/23.jpg)
Image object features used to classify different surfaces (“_” prefix indicates temporary class)
31. 3. 2017 Juraj Murcko, MSc. Cartography 23
![Page 24: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/24.jpg)
land cover classification on LAND_COVER image object level
31. 3. 2017 Juraj Murcko, MSc. Cartography 24
![Page 25: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/25.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 25
a) Prague – false color composite b) Prague - LC classification
![Page 26: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/26.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 26
c) Mandalay - false color composite d) Mandalay - LC classification
![Page 27: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/27.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 27
![Page 28: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/28.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 28
Source: http://homepages.inf.ed.ac.uk/rbf/HIPR2/dilate.htm
Pixel-based image object grow (dilation)
![Page 29: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/29.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 29
BUILT–UP level – only built-up surfaces
BUILT–UP surface
![Page 30: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/30.jpg)
REFINE level – result of pixel-based object grow
31. 3. 2017 Juraj Murcko, MSc. Cartography 30
15 px grow
![Page 31: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/31.jpg)
Built-up density classification on the refined extended built-up area- BUILT-UP_DENSITY level
31. 3. 2017 Juraj Murcko, MSc. Cartography 31
Built-up density classification
![Page 32: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/32.jpg)
Description of the created image object level hierarchy
31. 3. 2017 Juraj Murcko, MSc. Cartography 32
![Page 33: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/33.jpg)
Results
Rule Set Land Cover map 4 classes: built-up, vegetation, water, bare soil
Built-up density blocks – broader built-up area Built-up density classification on 2 levels:
1. ROAD_SEGMENT level (road enclosed segments) 2. BUILT-UP_DENSITY level (refined extended built-up
area)
31. 3. 2017 Juraj Murcko, MSc. Cartography 33
![Page 34: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/34.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 34
Rule Set
![Page 35: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/35.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 35
![Page 36: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/36.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 36
![Page 37: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/37.jpg)
Land cover accuracy assessment
Reference points from visual interpretation
Confusion matrix
31. 3. 2017 Juraj Murcko, MSc. Cartography 37
![Page 38: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/38.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 38
Prague – land cover reference points
![Page 39: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/39.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 39
Mandalay– land cover reference points
![Page 40: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/40.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 40
![Page 41: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/41.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 41
ROAD_SEGMENT level BUILT-UP_DENSITY level VS
Built-up density classification
![Page 42: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/42.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 42
ROAD_SEGMENT level BUILT-UP_DENSITY level VS
Built-up density classification
![Page 43: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/43.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 43
a)Prague subset - built-up density at ROAD_SEGMENT LEVEL b) built-up density at BUILT-UP DENSITY level
![Page 44: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/44.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 44
c) Mandalay - built-up density at ROAD_SEGMENT LEVEL d) built-up density at BUILT-UP DENSITY level
![Page 45: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/45.jpg)
Built-up density accuracy assessment Digitizing reference polygons by visual
interpretation from VHR image Comparing to the result of classification Built-up density accuracy assessment –
reference polygons guiding reference (only Prague): Urban Atlas – urban fabric (European
Environment Agency) HRL Imperviousness (Copernicus land
monitoring service)
31. 3. 2017 Juraj Murcko, MSc. Cartography 45
![Page 46: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/46.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 46
Urban Atlas – urban fabric (European Environment Agency)
![Page 47: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/47.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 47
HRL Imperviousness (Copernicus land monitoring service)
![Page 48: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/48.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 48
Prague – Built-up density reference polygons
![Page 49: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/49.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 49
Mandalay– Built-up density reference polygons
![Page 50: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/50.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 50
confusion matrix for built-up density classification on the BUILT-UP_DENSITY level - Prague
confusion matrix for built-up density classification on the BUILT-UP_DENSITY level - Mandalay
![Page 51: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/51.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 51
a) original image (Yellow transparent box with black borders = built-up density reference polygon ) b) land cover classification (yellow = built-up) c) built-up density classification (yellow = built-up 10-50%) on BUILT-UP_DENSITY level
Issue 1 - unsuccessful broader delineation of sparsely built up areas (10-50%)
![Page 52: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/52.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 52
a) original VHR image: red polygon = 10-50% reference polygon, green lines=road network b) land cover classification: yellow=built-up, green=vegetation, black=unclassified c) built-up density classification on ROAD_SEGMENT level d) built-up density classification on BUILT-UP_DENSITY level
![Page 53: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/53.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 53
a) original image b) land cover classification c) built-up density at ROAD_SEGMENT level d) built-up density at refined BUILT-UP_DENSITY level
![Page 54: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/54.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 54
a) built-up density classification on the ROAD_SEGMENT level b) built-up density classification on the BUILT-UP_DENSITY level
![Page 55: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/55.jpg)
Transferability
Rule Set was developed on a subset of Mandalay image, later tested on Prague image
The classification part of the Rule Set was optimized for each image
Image object refinement was uniform for both images
The results are comparable in both images
3/31/2017 Juraj Murcko, MSc. Cartography 55
![Page 56: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/56.jpg)
Conclusion
Image processing workflow was implemented
Segmentation results were refined to represent broader built-up area – pixel based grow, shape refinement
Built-up density was calculated Segments were classified into 4 built-up
density classes Transferability was tested - classification
optimization needed 31. 3. 2017 Juraj Murcko, MSc. Cartography 56
![Page 57: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/57.jpg)
Possible improvements and future work
Using ancillary data (DSM, SAR, vector data) to increase the accuracy of LC classification
Obtain realiable reference data Implement rules for restriction of the grow
algorithm only towards densely built-up areas – also deliniation of sparsely built-up areas
Consider size, shape or color of the buildings to estimate functional use of the built-up area segment
Classify urban typology
3/31/2017 Juraj Murcko, MSc. Cartography 57
![Page 58: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/58.jpg)
31. 3. 2017 Juraj Murcko, MSc. Cartography 58
a) original image (Yellow transparent box with black borders = built-up density reference polygon ) b) land cover classification (yellow = built-up) c) built-up density classification (yellow = built-up 10-50%) on BUILT-UP_DENSITY level
Issue 1 - unsuccessful broader delineation of sparsely built up areas (10-50%)
![Page 59: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/59.jpg)
References
Benz, U., Hofmann, P., Willhauck, G., Lingenfelder, I., and Heynen, M., 2004. “Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information”. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 58, pp. 239– 258.
Blaschke, T., Lang, S., Lorup, E., Strobl, J., and Zeil, P., 2000. “Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications”. In: Cremers, A., and Greve, K., eds. Environmental Information for Planning, Politics and the Public, vol. 2, Marburg, Metropolis.
Divyani Kohli, Pankaj Warwadekar, Norman Kerle, Richard Sliuzas, and Alfred Stein., 2013. "Transferability of Object-Oriented Image Analysis Methods for Slum Identification." MDPI.
eCognition Reference Book, 2014. Trimble eCognition® Reference Book (Munich, Germany: Trimble Germany GmbH).
Hamedianfar, Alireza, and Helmi Zulhaidi Mohd Shafri, 2015. “Detailed Intra-Urban Mapping through Transferable OBIA Rule Sets Using WorldView-2 Very-High- Resolution Satellite Images.” International Journal of Remote Sensing, vol. 36, no. 13, pp. 3380–3396.
31. 3. 2017 Juraj Murcko, MSc. Cartography 59
![Page 60: Master thesis defence · 2017-04-04 · Agenda Introduction Background Thesis objective Data, study area, pre-processing Process (Rule Set) development Results, discussion Conclusion](https://reader033.fdocument.pub/reader033/viewer/2022042804/5f52b99390b77918f9542ebb/html5/thumbnails/60.jpg)
References
Herold, M., 2002. “Object-oriented mapping and analysis of urban land use/cover using IKONOS data”. In: Proceedings of 22nd EARSEL Symposium ‘Geoinformation for Europeanwide Integration’, Rotterdam, Millpress.
Jalan, S., 2011. “Exploring the Potential of Object Based Image Analysis for Mapping Urban Land Cover.” Journal of the Indian Society of Remote Sensing, vol. 40, no., pp. 507–518. doi:10.1007/s12524-011-0182-3.
Karathanassi, V., Iossifidis, C.H., and Rokos, D., 2000. “A texture-based classification method for classifying built areas according to their density”. International Journal of Remote Sensing, 21, 1807–1823.
Paul, Obade Vincent De., 2007. "Remote Sensing: New Applications for Urban Areas." Proceedings of the IEEE 2267-268.
Walker, J. S., and T. Blaschke., 2008. “Object-Based Land-Cover Classification for the Phoenix Metropolitan Area: Optimization vs. Transportability.” International Journal of Remote Sensing, vol. 29, no. 7, pp. 2021–2040.
31. 3. 2017 Juraj Murcko, MSc. Cartography 60