XXII ISPRS Congress 2012: Technical Commission VII

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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

Chapter

Title:: [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ON THE USE OF DUAL-CO-POLARIZED TERRASAR-X DATA FOR WETLAND MONITORING A. Schmitt, T. Leichtle, M. Huber, A. Roth

Document type:: Multivolume work

Structure type:: Chapter

Swamp forest can be distinguished from agricultural land by its brighter blue colour. Fig. 7 shows that HH and VV have similar intensities in most parts of the image. The small arms of the river at the right as well as settlements stick out because of a higher reflectance in HH than in VV. Some smaller areas in the larger river arms that are characterized by a higher backscattering in VV than in HH are supposed to be covered by flooded vegetation. Comparing these areas to K3 in Fig. 6 approves this hypothesis because those areas additionally show a dominant double-bounce contribution attached to vegetation standing in water (Brisco, 2011). 2.3 Difference Images In order to enhance the temporal changes the Kennaugh elements of both acquisitions are differentiated (Figs. 8-11). Figure 9: Differential K0 change in intensity Figure 8: Differential Kennaugh elements QL Figure 11: Diff. K4 HH / VV intensities Figure 10: Diff. K3 double bounce / surface International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia Fig. 8 depicts the quicklook of the differential Kennaugh elements in the same colour coding as the single acquisitions above. The change in the backscattering strength is captured in Fig. 9. Blue stands for a decrease in the total intensity of about 3dB. Over open water surfaces this behaviour can be referred to the influence of wind that roughens the surface and thus, increases the backscattering during the first image acquisition. The yellow coloured areas in Fig. 10 report an increase in the relation of double bounce to surface scattering. This can be caused by an increase of the double bounce component or a decrease of the surface scattering. As these areas coincide with the negative changes in the total intensity it is reasonable that the dominant surface scattering — apparent in Fig. 6 as large dark blue region — is slightly reduced and hence causes the increase in K3. The relation between HH and VV intensities only exhibits minor changes particularly attached to man-made objects that probably have been moved in the meantime. 3. CONCLUSION For the first time a closed formalism is presented that enables a uniform description of (partial-) polarimetric SAR data for single image acquisitions as well as for time series. Because of the high sensitivity of the Kennaugh elements speckle filtering is absolutely required, and is done by a multiscale approach — called pyramidal multilooking that trades radiometric accuracy against geometric resolution. Especially in the context of wetland monitoring this approach reveals a high potential even though the polarimetric interpretation still is subject to further investigations. This methodology was designed to be the kernel of the future polarimetry and change detection processor implemented at the German Aerospace Center. 4. REFERENCES Brisco, B., Schmitt, A., Murnaghan, K., Kaya, S. and Roth, A., 2011. SAR Polarimetric Change Detection for Flooded Vegetation. International Journal of Digital Earth. Hess, L.L., Melack, JM. and Simonett D.S. 2000. Radar detection of flooding beneath the forest canopy: a review. International Journal of Remote Sensing, 11:7, 1313-1325. Schmitt, A., Wessel, B., Roth, A., 2012. Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Paris, France. Vol. XXXVIII, Part 3/W4. Schmitt, A., 2012. Aenderungserkennung in multitemporalen und multipolarisierten ^ Radaraufnahmen, Dissertation Karlsruhe Institute of Technology. hitp://digbib.ubka.uni- karlsruhe.de/volltexte/1000025955 (13 Apr. 2012) Wendleder, A., Breunig, M., Martin K., Wessel, B. and Roth, A., 2011. Water body detection from TanDEM-X data: concept and first evaluation of an accurate water indication mask. In: IEEE International Geoscience and Remote Sensing Symposium. Vancouver, Canada. RAMSAR - Convention on Wetlands, Ramsar, Iran, 1971, http://www.ramsar.wetlands.org, last visited 04/13/2012. 5. ACKNOWLEDGEMENTS TerraSAR-X images from proposal LAN1403 O DLR 2011

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