Abstract: Recently, the Transformer has achieved significant success in the hyperspectral image (HSI) classification task. However, most Transformers and their variants focus more on spatial-domain ...
A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
Optimized Feature Selection for Rhizome Image Classification: Evaluation of CFS, ReliefF, and L1-SVM
Abstract: Image classification of rhizome plants plays a crucial role in supporting agriculture, the herbal industry, and biodiversity conservation. However, the high visual complexity-resulting from ...
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS,… ...
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