Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing

doi:10.1109/jstars.2018.2879363

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing
	Li, J.; Fu, Y.; Li, G. N.; Liu, Z. L.
刊名	Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
	2018
卷号	11 期号:12 页码:4932-4938
关键词	Heterogeneous compressive sensing (CS) panchromatic images remote sensing image compression information Engineering Physical Geography Remote Sensing Imaging Science & Photographic Technology
ISSN号	1939-1404
DOI	10.1109/jstars.2018.2879363
英文摘要	Compressive sensing (CS) framework is very suitable for onboard image compression of high-resolution remote sensing cameras in the visible/near-infrared range (VI/NI-RSC) because it has the low-complexity in the sampling measurement stage. In this paper, we propose a new heterogeneous CS method for VI/NI-RSCs. Different from conventional CS methods evenly allocating sensing resources, the proposed method fully employs texture-feature information of remote sensing images to guide the allocation of sensing resources. More sensing resources are allocated to high-frequency regions, but fewer to low-frequency regions. The heterogeneous distribution of sensing resources obtains high reconstruction quality at the same compression performance, as well as high compression performance at the same level reconstructed quality. The shift of sensing resources is consistent with artificial image interpretations, i.e., human visual characteristics, where high-frequency regions, such as edges and textures, are the principal proof of the ground target identification. Experimental results indicate that the proposed method has better reconstruction quality than conventional CS method where texture-features are not utilized.
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/61129]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Li, J.,Fu, Y.,Li, G. N.,et al. Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing[J]. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(12):4932-4938.
APA	Li, J.,Fu, Y.,Li, G. N.,&Liu, Z. L..(2018).Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing.Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,11(12),4932-4938.
MLA	Li, J.,et al."Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing".Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11.12(2018):4932-4938.