Land use/land cover (LULC) classification using deep-LSTM for hyperspectral images

Land Use/Land Cover (LULC) classification using hyperspectral images in remote sensing is a leading technology. However, LULC classification using hyperspectral images is a difficult task and time-consuming process because it has fewer training samples. To overcome these issues, we proposed a deep-L...

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Auteurs principaux:	Ganji Tejasree, L. Agilandeeswari
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2024-03-01
Collection:	Egyptian Journal of Remote Sensing and Space Sciences
Sujets:	Land use/land cover (LULC) Deep-LSTM Auto-encoder Ranking based method Feature extraction Band selection
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S1110982324000048
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