Automated Detection and Removal of Clouds and Their Shadows from Landsat TM Images

• WANG Bin

  the Graduate School of Science and Technology, Kobe University

• ONO Atsuo

  the Graduate School of Science and Technology and the Faculty of Cross-Cultural Studies, Kobe University

• MURAMATSU Kanako

  the Faculty of Science, Nara Women's University

• FUJIWARA Noboru

  the Faculty of Science, Nara Women's University

抄録

In this paper, a scheme to remove clouds and their shadows from remotely sensed images of Landsat TM over land has been proposed. The scheme uses the image fusion technique to automatically recognize and remove contamination of clouds and their shadows, and integrate complementary information into the composite image from multitemporal images. The cloud regions can be detected on the basis of the reflectance differences with the other regions. Based on the fact that shadows smooth the brightness changes of the ground, the shadow regions can be detected successfully by means of wavelet transform. Further, an area-based detection rule is developed in this paper and the multispectral characteristics of Landsat TM images are used to alleviate the computational load. Because the wavelet transform is adopted for the image fusion, artifacts are invisible in the fused images. Finally, the performance of the proposed scheme is demonstrated experimentally.

収録刊行物

• IEICE transactions on information and systems

  IEICE transactions on information and systems 82 (2), 453-460, 1999-02-25

  一般社団法人電子情報通信学会

キーワード

• remote sensing
• image fusion
• wavelet transform
• automated detection and removal
• Landsat TM images

詳細情報

• CRID: 1570291227534961536
• NII論文ID: 110003210118
• NII書誌ID: AA10826272
• ISSN: 09168532
• 本文言語コード: en
• データソース種別:
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