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

Chapter

Title:: [VII/4: METHODS FOR LAND COVER CLASSIFICATION]

Document type:: Multivolume work

Structure type:: Chapter

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Title:: RESEARCH ON DIFFERENTIAL CODING METHOD FOR SATELLITE REMOTE SENSING DATA COMPRESSION Z. J. Lin, N. Yao, B. Deng, C. Z. Wang, J. H. 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 Times of edge protection smoothing Naught | One | Two | Three Entropy (bits) 6.17 6.11 6.08 6.06 Information amount (bits) 3.44 2.99 2.44 2.08 Average code length 6.20 6.13 6.11 6.11 Hofman Coding Compression rate 1.29 1.30 1.31 1:31 Uni-directional Average code length 4.50 4.13 3.63 3.32 differential coding Compression rate 1.78 1.94 2.20 241 Bidirectional Average code length 3.66 4.05 3.56 322 differential coding Compression rate 2.19 1.98 2.42 2.49 Table 4. Comparisons of Huffman coding and differential coding corresponding to different times of edge protection smoothing Urbanareas | Farmland | Mountain areas | water Naught Average code length 6.12 4.89 4.13 3-27 Compression rate 1.61 2.21 2.52 332 One time Average code length 5.81 4.78 4.01 3.10 smoothing Compression rate 1.74 2:51 2.09 4.36 Two Times Average code length 5.63 4.70 3.07 3.06 smoothing Compression rate 1.99 3.02 3.81 8:17 Three times Average code length 5.51 4.65 3.95 3.07 smoothing Compression rate 3.23 3.45 4.29 7.25 Table 5. Unidirection differential coding of different land cover types after different times of edge protection smoothing transmission channels will be effectively utilized. The edge- s protection smoothing is a bit of time-consuming, but enough T time is available for on-board smoothing when a satellite is far away from the ground receiving stations. This strategy proves g- to possess much higher compression rates that would improve | Ä the utilization rates of the expensive satellite Earth $ - A P My communication infrastructures. It is of especial importance for a Aud Js M, IL W 1 country, exemplified by China, which has not yet constitute a 2 A | A d j worldwide ground reception station system, and is capable of A = meeting the requirements of cartographic satellites. S S 4 ir NS vl Mi LUN : REFERENCE e | E Deng B., Lin Z. J., 2010. Onboard data lossless compression of 2 + S remote sensing image based on "District Forecast" differential di coding. Science of Surveying and Mapping, 35(1), pp. 10-12 T T Hu Z. M., 1979. Orthogonal Transformations in Digital Signal 0 100 200 300 400 500 Processing. Posts and Telecom Press, Beijing. Lin Z. J., 1988. Multi-information and Multi-criterion Image Matching. Wuhan Technical University of Surveying and Mapping, Wuhan Figure 7. A-A sectional drawing 4. CONCLUSION Lin Z. J., Zhang Y. H., 2006. Measurement of information and uncertainty of remote sensing and GIS data, Geomatics and Obviously, the proposed differential encoding for lossless Information Science of Wuhan University, 37), pp. 569-572. compression is feasible. Besides, this method is simple and easy to implement which makes it worthy of application in data Tao C. K., Tao. C. K., 2004. Optical Information Theory. transmission to economize in resources and improve Science Press, Beijing, pp. 36-55. transmission efficiency. In addition, the satellite orbits may be partitioned into districts according to historical aerial images, remote sensing images, GIS data and so on, together with the establishment of different compression modules, which would ACKNOWLEDGEMENT serve to compress different land cover images and maximize the compression rates of lossless compressions. Thus, the valuable The research is partially supported by “973 Program” grants storage space on-board and the limited band width of (No. 41071286) and (No. 41171346 ).

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