Classification of Categories on Remote Sensing Multispectral Image Data by the Angular Distribution in the Feature Space.
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- TOMIYA Mitsuyoshi
- Department of Applied Physics, Seikei University
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- ISHIGURO Hiroyuki
- Department of Applied Physics, Seikei University
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- NAKAJIMA Yasuhiro
- Remote Sensing and Image Research Center, Chiba University
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- TOYOTA Hiromichi
- Department of Applied Physics, Seikei University
Bibliographic Information
- Other Title
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- リモートセンシング多重分光画像の特徴空間上の角度分布を利用したカテゴリー分類
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Description
Classification of remote sensing multispectral data empolying the angular distribution of the data in the feature space is proposed. Several types of the classifiers are tested. The best one also involves radial coordinate. Their reliability stems from the assumption that same ratios of reflectances of remotely sensed data strongly imply that reflectances are actually same. Data whose ratios of reflectances are same are on the same line. They belong to the same category, if the assumption is definite. The line passes near the origin of the feature space, however, not exactly on the origin. It is due to the offsets of the data, which must be carefully handled in our method.
Journal
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- Journal of The Remote Sensing Society of Japan
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Journal of The Remote Sensing Society of Japan 16 (1), 59-67, 1996
The Remote Sensing Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679642412032
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- NII Article ID
- 10003789287
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- NII Book ID
- AN10035665
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- ISSN
- 18831184
- 02897911
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed
