| Revista: | Computación y Sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000457654 |
| ISSN: | 1405-5546 |
| Autors: | Medjahed, Seyyid Ahmed1 Ouali, Mohammed2 |
| Institucions: | 1Ahmed Zabana University Center of Rélizane, Relizane. Argelia 2Thales Canada Inc, Burnaby, British Columbia. Canadá 3Universite de Sherbrooke, Computer Science Department, Quebec. Canadá |
| Any: | 2020 |
| Període: | Ene-Mar |
| Volum: | 24 |
| Número: | 1 |
| Paginació: | 213-219 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Recently, hyperspectral imagery has been very active research field in many applications of remote sensing. Unfortunately, the large number of bands reduces the classification accuracy and computational complexity which causes the Hugh phenomenon. In this paper, a new hybrid approach for band selection based is proposed. This approach combines the advantage of filter and wrapper method. The proposed approach is composed of two phases: the first phase consists to reduce the number of bands by merging the highly correlated bands, and, the second phase uses a wrapper approach based on Sin Cosine Algorithm to select the optimal band subset that provides a high classification accuracy. In addition, a new binary version of Sin Cosine Algorithm is proposed to adapt it to the band selection problem. The performance evaluation of the proposed approach is tested on three publicly available benchmark hyperspectral images. The analysis of the results demonstrates the efficiency and performance of the proposed approach |
| Disciplines | Ciencias de la computación |
| Paraules clau: | Inteligencia artificial, Procesamiento de datos, Programación, Selección de banda, Espectros, Imágenes, Algoritmos de clasificación, Optimización |
| Keyword: | Artificial intelligence, Data processing, Programming, Band selection, Spectral, Images, Classification Algorithms, Optimization |
| Text complet: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
