id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-24383	Su, Hang; Xu, Shuo; Wang, Zhongjian; Zhao, Wenxin; Wen, Yanan; Zhao, Lei	Classification of Leguminous Wood Species Based on Small Sample Hyperspectral Images	2025	21	.pdf	application/pdf	7420	358	37	PCA solves the problem of high-dimensional data redundancy by extracting low dimensional principal components of spectral data through orthogonal transformation, alleviating the curse of dimensionality. The first-order derivative transformation is a differential processing technique applied to spectral data to emphasize the trend of changes and characteristic points on the spectral curve.	cache/brj-24383.pdf	txt/brj-24383.txt