A deep learning framework for hyperspectral image classification using   spatial pyramid pooling

doi:10.1080/2150704X.2016.1193793

CORC > 北京大学 > 地球与空间科学学院

	A deep learning framework for hyperspectral image classification using spatial pyramid pooling
	Yue, Jun ; Mao, Shanjun ; Li, Mei
刊名	REMOTE SENSING LETTERS
	2016
关键词	CONVOLUTIONAL NEURAL-NETWORKS
DOI	10.1080/2150704X.2016.1193793
英文摘要	In this letter, a new deep learning framework for spectral-spatial classification of hyperspectral images is presented. The proposed framework serves as an engine for merging the spatial and spectral features via suitable deep learning architecture: stacked auto-encoders (SAEs) and deep convolutional neural networks (DCNNs) followed by a logistic regression (LR) classifier. In this framework, SAEs is aimed to get useful high-level features for the one-dimensional features which is suitable for the dimension reduction of spectral features, while DCNNs can learn rich features from the training data automatically and has achieved state-of-the-art performance in many image classification databases. Though the DCNNs has shown robustness to distortion, it only extracts features of the same scale, and hence is insufficient to tolerate large-scale variance of object. As a result, spatial pyramid pooling (SPP) is introduced into hyperspectral image classification for the first time by pooling the spatial feature maps of the top convolutional layers into a fixed-length feature. Experimental results with widely used hyperspectral data indicate that classifiers built in this deep learning-based framework provide competitive performance.; Mega-projects of Science Research for the 12nd Five-year Plan [2011ZX05040-005]; National High-tech R&D Program of China (863 program) [2012AA121403]; State Scholarship Fund of China [201506010050]; SCI(E); EI; ARTICLE; jyue@pku.edu.cn; 9; 875-884; 7
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/492547]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Yue, Jun,Mao, Shanjun,Li, Mei. A deep learning framework for hyperspectral image classification using spatial pyramid pooling[J]. REMOTE SENSING LETTERS,2016.
APA	Yue, Jun,Mao, Shanjun,&Li, Mei.(2016).A deep learning framework for hyperspectral image classification using spatial pyramid pooling.REMOTE SENSING LETTERS.
MLA	Yue, Jun,et al."A deep learning framework for hyperspectral image classification using spatial pyramid pooling".REMOTE SENSING LETTERS (2016).