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

doi:10.1109/jstars.2018.2879363

CIOMP OpenIR

	Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing
	Li, J.; Fu, Y.; Li, G. N.; Liu, Z. L.
	2018
发表期刊	Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN	1939-1404
卷号	11 期号:12 页码:4932-4938
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.
关键词	Heterogeneous compressive sensing (CS) panchromatic images remote sensing image compression information Engineering Physical Geography Remote Sensing Imaging Science & Photographic Technology
DOI	10.1109/jstars.2018.2879363
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	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.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
Remote Sensing Image（3276KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文