红外技术2017，Vol.39Issue(8)：722-727,6.
高光谱摆扫型压缩成像及数据重建
Compressive Whiskbroom Sensing and Data Reconstruction for Hyperspectral Imaging
摘要
Abstract
Owing to the requirements of high spectral resolution, conventional hyperspectral remote-sensing imaging systems are susceptible to bottleneck problems related to high rate sampling and mass data storage. Compressive sampling possesses the potential to solve many problems associated with hyperspectral remote sensing. An optical imaging system for compressive whiskbroom sensing in hyperspectral remote-sensing imaging is proposed in this paper. The proposed system comprises spatial grating, a cylindrical lens, a two-dimensional coded aperture, and a linear sensor array. The system, which enables multiple simultaneous compressive measurements, is designed for spectrum sensing operations. An iterative prediction reconstruction algorithm is designed based on the spatial correlation of hyperspectral images. Experimental results show that the reconstruction signal-to-noise ratio of the proposed algorithm is improved by more than 10dB when the sampling rate exceeds 0.2. The sampling simplicity of the system makes it suitable for hyperspectral compressive imaging in space-borne and airborne remote-sensing platforms.关键词
高光谱遥感/压缩成像/摆扫型/数据重建Key words
hyperspectral remote-sensing/compressive imaging/whiskbroom/data reconstruction分类
信息技术与安全科学引用本文复制引用
贾应彪,冯燕..高光谱摆扫型压缩成像及数据重建[J].红外技术,2017,39(8):722-727,6.基金项目
国家自然科学基金(61071171),广东省自然科学基金(2016A030307044,2016A030307045),韶关市科技项目(441-99000311). （61071171）
