Extraction of Geospatial Information from High Resolution Optical Satellite Sensors

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Extraction of Geospatial Information from High Resolution Optical Satellite Sensors

NASA Goddard Space Flight Center

ISPRS Sustaining Members

ISPRS Technical Commission IV Symposium 'Geospatial Databases for Sustainable Development', Goa, India, 27-30 September 2006

E. Baltsavias(1),L. Zhang(2), D. Holland(3), P.K. Srivastava(4), B. Gopala Krishna(4), T.P. Srinivasan(4)

(1) Institute of Geodesy and Photogrammetry, ETH Zurich, Wolfgang Pauli Str. 15, CH-8093 Zurich, Switzerland, manos@geod.baug.ethz.ch
(2) Institute for Photogrammetry and Remote Sensing, Chinese Academyof Surveying and Mapping, 16 Beitaiping Road, HaidianDistrict, Beijing 100039, P.R.China, zhangl@casm.ac.cn
(3) Ordnance Survey, RomseyRoad, Southampton SO16 4GU, UK, David.Holland@ordnancesurvey.co.uk
(4) Space Applications Centre, ISRO, Ahmedabad 380 015, India, [pradeep, bgk, tps]@ipdpg.gov.in

Introduction (definition of HR, current HR sensors, main characteristics, technological alternatives)() - Emmanuel Baltsavias
Image quality, radiometric analysis, preprocessing() - Emmanuel Baltsavias
Geometric sensor models and bundle block adjustment() - T.P. Srinivasan
Automated DSM generation() - Li Zhang, Emmanuel Baltsavias
Orthoimage Generation() - B.Gopala Krishna
Automated and semi-automated object extraction (mainly roads and buildings)() - Li Zhang, Emmanuel Baltsavias
Land use and land cover mapping() - David Holland
Use of high resolution satellite imagery for mapping, landscape change detection and map update() - David Holland
Cartosat Mission() - P.K. Srivastava

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ISPRS Open Journal of Photogrammetry and Remote Sensing

ISPRS International Journal of Geo-Information – Open Access Journal

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