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A change detection method for remotely sensed multispectral and multitemporal images using 3-D segmentation

✍ Scribed by Yamamoto, T.; Hanaizumi, H.; Chino, S.


Book ID
117877074
Publisher
IEEE
Year
2001
Tongue
English
Weight
298 KB
Volume
39
Category
Article
ISSN
0196-2892

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✍ Hiroshi Okumura; Hiroshi Hanaizumi; Toshinori Yoshikawa 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 887 KB

This paper proposes a new method for detection of changed regions and for classification of their change pattern, DETECT, from two remotely sensed multispectral multitemporal images acquired at the same location and at different times. The method applies a local regression model to a rectangular reg