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Can I read Recognition and Extraction of Topographic Features from Gray-scale Image of a Celestial Body on EtoBox?
Recognition and Extraction of Topographic Features from Gray-scale Image of a Celestial Body by Toshihiko Misu; Tatsuaki Hashimoto; Keiken Ninomiya is a Computer Science article available to read on EtoBox.
What is Recognition and Extraction of Topographic Features from Gray-scale Image of a Celestial Body about?
A method of recognition and extraction of geographical features from a grayscale image of the surface of a celestial body is proposed. The scheme is based on direct recognition from the image taken by a camera on a spacecraft without shape reconstruction, which usually entails a large amount of computation. By preparing templates of geographical categories such as mountains and valleys, indices of the membership of each pixel in these categories are efficiently calculated. With some logical operations, geographic features are automatically extracted on demand. The scheme is applied to synthesized images and natural ones to show its feasibility and robustness.
Who reads Recognition and Extraction of Topographic Features from Gray-scale Image of a Celestial Body?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Toshihiko Misu; Tatsuaki Hashimoto; Keiken Ninomiya
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0882-1666)
- Published
- 2000
- Language
- EN
- Field
- Computer Science (Physical Sciences)
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