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/6: REMOTE SENSING DATA FUSION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: TEXTURE ANALYSIS BASED FUSION EXPERIMENTS USING HIGH-RESOLUTION SAR AND OPTICAL IMAGERY Shuhe Zhao, Yunxiao Luo, Hongkui Zhou, Qiao Xue, An Wang

Document type:: Multivolume work

Structure type:: Chapter

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 Figure 2. (a) — (g) are correlations between texture measures in different windows. (The corresponding sequence is Mean, Variance, Homogeneity, Contrast, Dissimilarity, Entropy, and Second Moment.). (h) The standard deviation of the textural measures in different windows. (e) (2) Figure 3. (a) ~ (g) are fusion results with different textural measures by PCA. (The corresponding textural measures sequence is Mean, Variance, Homogeneity, Contrast, Dissimilarity, Entropy, and Second Moment.). 6. REFERENCES [6] Lee K., Jeon S.H., and Kwon B.D., “Urban feature characterization using high-resolution satellite imagery: texture analysis approach”, CD [1] Yi Yang, Chongzhao Han, Deqiang Han, “A Markov Random Field ROM Proceeding of MAPASIA 2004 Conference, Beijing, China. 2004. Model-based fusion approach to segmentation of SAR and optical [7] D. Amarsaikhan, H.H. Blotevogel, J.L. van Genderen, M. Ganzorig, R. images”, IEEE International Geoscience and Remote Sensing Gantuya, and B. Nergui, “Fusing high-resolution SAR and optical Symposium, IV, pp. 802-805, 2008. imagery for improved urban land cover study and classification”, [2] Gintautas Palubinskas, Peter Reinartz and Richard Bamler, “Image International Journal of Image and Data Fusion, Vol. 1, No. 1, pp. 83-97, acquisition geometry analysis for the fusion of optical and radar remote 2010. sensing data", International Journal of Image and Data Fusion, Vol. 1, [8] J. B. K. Kiema, “Texture analysis and data fusion in the extraction of No. 3, pp. 271-282, 2010. topographic objects from satellite imagery”. International Journal of [3] Anne H. Schistad Solberg and Anil K. Jain, “Texture Fusion and Feature Remote Sensing, vol. 23, no. 4, pp. 767—776, 2002. Selection Applied to SAR Imagery", IEEE Transactions on Geoscience [9] Pohl, C. and van Genderen, J.L., “Multisensor image fusion in remote and Remote Sensing, Vol. 35, No. 2, pp. 475-479, 1997 sensing: concepts, methods and applications". International Journal of [4] Fawwaz T. Ulaby, F. Kouyate, B. Brisco, and T. H. Lee Williams, Remote Sensing, Vol. 19, No. 5, pp. 823-854, 1998. "Textural Infornation in SAR Images”, IEEE Transactions on 7, ACKNOWLEDGEMENT Geoscience and Remote Sensing, Vol. GE-24, No. 2, 1986. [5] Robert M. Haralick, K. Shanmugam, and ITS’HAK Dinstein, “Textural This research was supported by 973 Program (2010CB951503), Features for Image Classification”, IEEE Transactions on Systems, Man, Natural Science Foundation of China (40501047), and the Priority and Cybernetics, Vol. SMC-3, No. 6, pp. 610-621, 1973. Academic Program Development of Jiangsu Higher Education Institutions.

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