講演名 | 2009-11-04 SAR change detection based on Generalized Gamma distribution divergence and auto-threshold segmentation(WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics)) , |
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抄録(和) | |
抄録(英) | This paper first utilizes generalized Gamma model to fit the statistical characteristics of co-registered SAR images. Then, extract the difference map through measuring the similarity between PDFs by Kullback-Leibler Divergence. Afterwards, apply a combination of KS & KL test to evaluate and choose fitting function of the difference map for the model-based KI threshold segmentation automatically. Experiment was carried on the multi temporal SAR images for Olympic Village of Beijing, acquired by TerraSAR-X and Radarsat-2, as well as Shunyi District of Beijing, acquired by Envisat-ASAR. Such results confirmed the proposed method is more sensitive in detecting regions that have no variance in mean value, but differ in texture, than traditional methods |
キーワード(和) | |
キーワード(英) | Kullback-Leibler Divergence / Generalized Gamma / KI / Change Detection |
資料番号 | SANE2009-131 |
発行日 |
研究会情報 | |
研究会 | SANE |
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開催期間 | 2009/10/26(から1日開催) |
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申込み研究会 | Space, Aeronautical and Navigational Electronics (SANE) |
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本文の言語 | ENG |
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サブタイトル(和) | |
タイトル(英) | SAR change detection based on Generalized Gamma distribution divergence and auto-threshold segmentation(WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics)) |
サブタイトル(和) | |
キーワード(1)(和/英) | / Kullback-Leibler Divergence |
第 1 著者 氏名(和/英) | / Cong-shan GAO |
第 1 著者 所属(和/英) | Center for Earth Observation and Digital Earth, CAS:Graduate University of Chinese Academy of Sciences |
発表年月日 | 2009-11-04 |
資料番号 | SANE2009-131 |
巻番号(vol) | vol.109 |
号番号(no) | 265 |
ページ範囲 | pp.- |
ページ数 | 5 |
発行日 |