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Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization
This paper proposes a hybrid crop classifier for polarimetric synthetic aperture radar (SAR) images. The feature sets consisted of span image, the H/A/α decomposition, and the gray-level co-occurrence matrix (GLCM) based texture features. Then, the features were reduced by principle component analys...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231381/ https://www.ncbi.nlm.nih.gov/pubmed/22163872 http://dx.doi.org/10.3390/s110504721 |