XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Title:: TABLE OF CONTENTS

Document type:: Multivolume work

Structure type:: Table of contents

TABLE OF CONTENTS VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING Reflectance Calibration Scheme for Airborne Frame Camera Images......................... R EEK N EEK E ER EEE EE EEE rence 1 U. Beisl Atmospheric Correction Comparison of SPOT-5 Image Based on Model Flaash and Model QUAC ............................ 7 Y. Guo, F. Zeng Sensitivity Analysis in the Retrieval of Turbid Coastal Water Bathymetry Using Worldview-2 Satellite Data... onore tette eet t eter erectus es inerte dt ace ren ER Ee inner 13 S. C. Liew, C. W. Chang, L. K. Kwoh Geostatistical Analysis of Surface Temperature and In-situ Soil Moisture Using LST Time-Series from MODIS ......... iere pito eren eite rp e ait éd ape épais DAMEN AEEER A NNI QNARE Re e MIR SHARE MIRA Net eee as swan samo endo irs 17 M. Sohrabinia, W. Rack, P. Zawar-Reza VII/2: SAR INTERFEROMETRY InSAR Atmospheric Delay Migitigation by GPS; Case Study Izmit Eartquake Interferograms ................................. 23 M. U. Altin, E. Tari, L. Ge Sources of Artefacts in Synthetic Aperture Radar Interferometry Data Sets .......................... sss 29 K. Becek, A. Borkowski Radargrammetric Digital Surface Models Generation from TerraSAR-X Imagery: Case Studies, Problems, and Potontinlities.. ....c..0 wh iui biussssslvs fobunes thihvs shins sa stnazss cous sansashs gasses San ts Fan dbs deonvyst snes ssnssssnasssssassssivues tvorsasaes 35 P. Capaldo, M. Crespi, F. Fratarcangeli, A. Nascetti, F. Pieralice Glacier Surface Monitoring by Maximizing Mutual Information........................... e 41 E. Erten, C. Rossi, I. Hajnsek The Global TanDEM-X DEM: Production Status and First Validation Results ........................... e 45 M. Huber, A. Gruber, A. Wendleder, B. Wessel, A. Roth, A. Schmitt A New Persistent Scatter Network Construction Algorithm for Persistent Scatter InhSAR and Its Application to the Detection of Urban Subsidence .............................. see rence 57 X. Luo, D. Huang, G. Liu, L. Zhou, K. Dai Automatic Calculation of Oil Slick Area from Multiple Sar Acquisitions for Deepwater Horizon Oil SBill...... neither deque enorter pers pnendin pauses ciiin iota edo qure qimde iei Ire lett IRURE sabe tap oe ae Hie tree 63 B. Osmanoglu, C. Ózkan, F. Sunar, G. Staples Testing the Generalization Efficiency of Oil Slick Classification Algorithm Using Multiple SAR Data for Deepwater Horizon OH Spill... i... fini cnisccusiesis isis sasvisssussssmessrnivinssirsspinitsasisssssoshosss bess s buss siossnssssmriamasasm antes 67 C. Ozkan, B. Osmanoglu, F. Sunar, G. Staples, K. Kalkan, F. Balik Sanli Towards an Urban DEM Generation with Satellite SAR Interferometry ..................... eee 73 C. Rossi, T. Fritz, M. Eineder, E. Erten, X. X. Zhu, S. Gernhardt Matching Persistent Scatterers to BulldINgS.................. clic 2 4nd dileseden ese stunned esiseen tenue eue sentar n denn nih bi nnde bani sph 79 A. Schunert, L. Schack, U. Soergel InSAR of Aquatic Bodies ................—-- fenore edge tenir Ioetieo (ite etn rete et erbe ende ndR ETE rede b nhau eie baee dene a inani 85 P. Tarikhi Airborne X-HH Incidence Angle Impact on Canopy Height Retreival: Implications for Spaceborne X- HH TanDEM-X Global.Canopy Height Model...............555... rrr ttti e sis tsiiss sus ssanssintesigudtnissinees 91 M. L. Tighe, D. King, H. Balzter, A. Bannari, H. McNairn Tomographic SAR Inversion from Mixed Repeat- and Single-Pass Data Stacks -The TerraSAR- X/TanDEM-X Case... eee eee ese SL A BRAG ce Bae nba si bn ec deer dene ani Id Re Uode tet inp euhe uuo EUER LATE 97 X. X. Zhu, R. Bamler VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA Classification of Roof Materials Using Hyperspectral Data............................ eene hE EEE EEE EEE EUTE EEG 103 C. Chisense Spectral Analysis of Different Vegetation Cover Using the Hyperion Sensor — A Case Study in the State of Rio De Janeiro — Brazil een ELLA NR E robes t Re DB Seo GA 0 ts 109 E. M. F. R. De Souza, R. S. Vicens, A. E. P. Rosa, C. B. M. Cruz

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