| Presentation | 2002/12/6 The application of MCP in the satellite image classification : Land cover classification of the LandSat image Seitaro Kikuchi, Mitsuyoshi Tomiya, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | MCP(Modified Counter-Propagation) is the neural network which consists of 3 layers where neuron in rivalry layer of CP(Counter-Propagation) was expanded in SOM(Self-Organizing Maps). The purpose of the reserch is the classifies of LandSat image by using MCP. LandSat image data are inputted in the input layer of MCP, and the RGB value which represented each category is substituted in the output layer. MCP is compared with the case that a learning is done only with SOM which is a learning without a teacher-data. And it becomes possible that it is classified quantitatively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Modified Counter Propagation / Self-Organizing Maps / category classifies / LandSat |
| Paper # | NC2002-101 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2002/12/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | The application of MCP in the satellite image classification : Land cover classification of the LandSat image |
| Sub Title (in English) | |
| Keyword(1) | Modified Counter Propagation |
| Keyword(2) | Self-Organizing Maps |
| Keyword(3) | category classifies |
| Keyword(4) | LandSat |
| 1st Author's Name | Seitaro Kikuchi |
| 1st Author's Affiliation | Department of Applied Physics, Seikei University() |
| 2nd Author's Name | Mitsuyoshi Tomiya |
| 2nd Author's Affiliation | Department of Applied Physics, Seikei University |
| Date | 2002/12/6 |
| Paper # | NC2002-101 |
| Volume (vol) | vol.102 |
| Number (no) | 508 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |