Developments in Remote Sensing and Object-Based Image Classification for Urban Applications at University of Sao Paulo

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Developments in Remote Sensing and Object-Based Image Classification for Urban Applications at University of Sao Paulo José Alberto Quintanilha Rodrigo A. A. Nóbrega Slide 02 Summary HRI and OBIA: the brazilian scenario LabGeo s efforts on urban RS application current, past and future researches Developing partnerships / integrated efforts 1

Slide 03 Brazilian scenario on HRI Lack of continuous mapping efforts - outdated maps / costly process - map production urban taxes land supervision is focusing on what happened (autópsia do erro) Slide 04 Brazilian scenario on HRI Aerial images or satellite images? Which one is the best choice? RS technologies can provide better use of HRI than simple manual extraction or backgroung image Our goal: point out the enhanced use of HRI 2

Slide 05 Brazilian scenario on HRI How / Where / When to use HRI? Urban application: monitoring feature extraction multi-temporal analysis Challenges: Costly Need for intelligent application Slide 06 Labgeo s research focus: GIS data aquisition; data convertion / quality; database; Remote Sensing image classification land cover changes 3

Slide 07 Per-pixel approaches on mining urban features from IKONOS data Quintanilha / Osman Road detection over informal settlement areas Rodrigo / Leonardo Monitoring changes in land use/cover encircling the trains domain bands Alessandra Metrics for urban-accessibility mined from HRI Cláudia Dinamic of spatial distribution regarding urban land zone George Urban growing /Change detection Arlete Per-pixel approaches on mining urban features from IKONOS data Quintanilha / Osman Slide 08 Principal Component Analysis Max. Likelihood, Isodata, etc.. 4

Developments in Remote Sensing and ObjectObject-Based Image Paulo Slide 09 Road detection over informal settlement areas Rodrigo 1st Multidisciplinary Workshop on Extracting and Classifying Urban Urban Objects from High Resolution Satellite Images, Sao Paulo, April 18, 2007 Developments in Remote Sensing and ObjectObject-Based Image Paulo Slide 10 Road detection in Rio de Janeiro using multispectral and elevation HRSC data leonardo 1st Multidisciplinary Workshop on Extracting and Classifying Urban Urban Objects from High Resolution Satellite Images, Sao Paulo, April 18, 2007 5

Slide 11 Monitoring changes in land use/cover encircling the urban railroad domain bands Alessandra Metrics for urban-accessibility mined from HRI Cláudia Slide 12 6

Developments in Remote Sensing and ObjectObject-Based Image Paulo Slide 13 Dinamic of spatial distribution regarding urban land zone George 1st Multidisciplinary Workshop on Extracting and Classifying Urban Urban Objects from High Resolution Satellite Images, Sao Paulo, April 18, 2007 Developments in Remote Sensing and ObjectObject-Based Image Paulo Slide 14 Projects related to urban RS Unsupervised classification applied to determine urban growth and change detection Arlete 2002 1991 URBAN GROWTH SINCE 1991 TO 2002 URBAN SINCE 1991 WATER URBAN URBAN GROWTH VEGETATION BARE SOIL OTHERS CLASSES 1st Multidisciplinary Workshop on Extracting and Classifying Urban Urban Objects from High Resolution Satellite Images, Sao Paulo, April 18, 2007 7

Developing partnerships / integrated efforts Slide 15 Past 8 year of IKONOS launch, HRI are no more news Questions: 1. Demand of urban application for RS exists 2. inteligent use of HRI is need Developing partnerships / integrated efforts Slide 16 Limitations of the public/private part business demands development of technology specialized manpower requested 8

Developing partnerships / integrated efforts Slide 17 Limitations present at academic world : restricted budget need for integrate researches to the real-world s demand Developing partnerships / integrated efforts Slide 18 First efforts on Object-Based Image Analysis, an overview: precursor / pioneer researches lack of knowhow limited (or no) investments international cooperation required 9

Developing partnerships / integrated efforts Slide 19 Suggestion: merging isolated efforts concerning a commom goal about OBIA external cooperation to support investigations 10