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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...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhang, Yudong, Wu, Lenan
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Molecular Diversity Preservation International (MDPI) 2011
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3231381/
https://ncbi.nlm.nih.gov/pubmed/22163872
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s110504721
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