Loading...
Please wait, while we are loading the content...
Similar Documents
Multimodular Architecture for Remote Sensing Operations.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Thiria, Sylvie Mejia, Carlos Badran, Fouad Crépon, Michel |
| Copyright Year | 1991 |
| Abstract | This paper deals with an application of Neural Networks to satellite remote sensing observations. Because of the complexity of the application and the large amount of data, the problem cannot be solved by using a single method. The solution we propose is to build multimodules NN architectures where several NN cooperate together. Such system suffer from generic problem for whom we propose solutions. They allow to reach accurate performances for multi-valued function approximations and probability estimations. The results are compared with six other methods which have been used for this problem. We show that the methodology we have developed is general and can be used for a large variety of applications. |
| Starting Page | 675 |
| Ending Page | 682 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://papers.nips.cc/paper/579-multimodular-architecture-fir-remote-sensing-options.pdf |
| Alternate Webpage(s) | http://papers.nips.cc/paper/579-multimodular-architecture-for-remote-sensing-operations.pdf |
| Journal | NIPS 1991 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
