Extraction of Geospatial Information from High Resolution Optical Satellite Sensors

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Extraction of Geospatial Information from High Resolution Optical Satellite Sensors

HySpex, Norsk Elektro Optikk

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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