| Presentation | 2005/6/17 Studies on Coral Health Evaluation by Satellite Remote Sensing Images Hiroshi SHIRATSUCHI, Yoshimi TOMORI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This report studies the coral health evaluation using a neural network, which is made to learn Ikema's water depth adjusting algorithms for extraction of the bottom features at optional points from remote sensing images. The IKONOS satellite images were used with high resolution of 82cm. Our previously proposed structural learning algorithm is applied to improve the generalization ability, since the training data, i.e., the measurements for correction of actual water depth are limited in number. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | White coral / water depeth adjust / satellite remote sensing / neural net |
| Paper # | NC2005-22 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2005/6/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Studies on Coral Health Evaluation by Satellite Remote Sensing Images |
| Sub Title (in English) | |
| Keyword(1) | White coral |
| Keyword(2) | water depeth adjust |
| Keyword(3) | satellite remote sensing |
| Keyword(4) | neural net |
| 1st Author's Name | Hiroshi SHIRATSUCHI |
| 1st Author's Affiliation | Kinki University School of Humanity-Oriented Science and Engineering() |
| 2nd Author's Name | Yoshimi TOMORI |
| 2nd Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
| Date | 2005/6/17 |
| Paper # | NC2005-22 |
| Volume (vol) | vol.105 |
| Number (no) | 131 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |