Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

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

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [WP-1 ADVANCED COMPUTING FOR INTERPRETATION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: A Method for Proportion Estimation of Mixed Pixel (MIXEL) by Means of Inversion Problem Solving. Kohei Arai and Yasunori Terayama

Document type:: Multivolume work

Structure type:: Chapter

346 cct Fig. 5 Spectral signature for the designated classes Table 1 Estimated mixing ratios of road, paddy field and water body classes for the designated pixels No. Mixing ratios Remarks Road Paddy Water 1 0.198 0.612 0.190 Paddy field 2 0.193 0.674 0.133 apart from road 3 0.145 0.622 0.243 4 0.287 0.612 0.101 Paddy field 5 0.034 0.582 0.384 beside road 6 0.078 0.552 0.370 7 0.510 0.399 0.001 Road 8 0.484 0.395 0.121 9 0.637 0.231 0.132 a 0.333 0.536 0.131 Disconnected b 0.343 0.517 0.140 segments of road c 0.443 0.377 0.180 6. Conclusion This study is at the first stage of the whole study on the Image Classification Artificial Intel1 igence(ICAI) system so that further study is required for proportion estimation, on accuracy assessment for proportion estimation, in the case that not only mean but also variance of the spectral response are taken into account, and for the system, on the integration of multi-information etc. Reference 1 2 3 (1) Inamura, 1987, Analysis of Remotely Sensed Image Data by Means of Category Decomposition, Journal of Electronics and Communication Society of Japan, Vol. J70—C, No. 2, pp. 241-250. (2) Rikimaru, Oshima and Kamijo, 1988, Development of simple method for extract pixel inside spectral information, Journal of Photogrammetry and Remote Sensing Society, Vol. 27, No. 6, pp. 23-34. (3) HallF.G., 1982, Satellite Remote Sensing: An integral tool in acquiring global crop production information. Proceedings of the 1982 Machine Processing of Remotely Sensed Data Symposium, pp.10- 22. Fig. 6 Designated pixels for investigation of proportion (4) Kettig, R. L. and D. A. Landgrebe, 1975, Classification of multispectral image data by extraction and classification of homogeneous objects, Proceedings of the 1975 Machine Processing of Remotely Sensed Data Symposium, pp. 2A-1 - 2A-11. (5) Towmey, S., 1977, Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements, Elsevire Scientific Pub. Co. (6) Ozaki and Taniguchi, 1988, Image Processing, Kyouritsu Pub., Co., Ltd. (7) Terayama, Y., K.Teramoto and K. Arai, 1990(in preparing), A method for estimation of mixing ratio of mixed pixel(MIXED by means of Inversion Problem Solving method. Proceedings of the Fall Symposium of the Japan Society for Photogrammetry and Remote Sensing, E-2.

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