干旱区生态环境知识资源中心(Arid): Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features

Arid

DOI	10.1007/s12524-019-01040-3
	Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features
	Shah, Esha 1; Jayaprasad, P.2; James, M. E.1
通讯作者	Jayaprasad, P.
来源期刊	JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
ISSN	0255-660X
EISSN	0974-3006
出版年	2019
卷号	47 期号:12 页码:2113-2127
英文摘要	Remote sensing data plays an important role in extracting thematic information from various sensors having different spectral, spatial and temporal resolutions. The present study aims at fusion of Radar Imaging Satellite-1 Fine Resolution Stripmap-1 and ResourceSAT-2 Linear Imaging Self Scanning Scanner-4 (LISS-4) images over Indian Antarctic Research Station Maitri and its surroundings to generate a better product which contains the characteristics of both the spectral information from LISS-4 and the spatial details of SAR. Different pixel-based fusion techniques such as Brovey Transform, Principal Component Analysis (PCA), Intensity Hue Saturation and Wavelet Principal Component Analysis (W-PCA) have been used in the present study. These image fusion techniques have been applied for the whole scene as well as for individual surface features like melt ponds, crevasses, freshwater lake, blue ice, oasis and lake ice for better discrimination of features. Quality assessment is performed by evaluating the performance of these algorithms using visual, spatial (High Pass Correlation Coefficient and Entropy) and spectral (Root Mean Square Error, Correlation Coefficient, ERGAS and Universal Quality Index) parameters. It is found that the identification of certain features such as crevasses, blue ice, melt ponds and lake ice has been improved with fused images compared to the original multi-spectral and SAR images. PCA and W-PCA fusion techniques offer better performance as compared to the rest of the techniques.
英文关键词	Antarctic ice features Feature extraction Image fusion Image merging RISAT-1 FRS-1 SAR ResourceSAT-2 LISS-4
类型	Article
语种	英语
国家	India
收录类别	SCI-E
WOS记录号	WOS:000490878900001
WOS类目	Environmental Sciences ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
EI主题词	2019-10-15
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310280
作者单位	1.Gujarat Univ, Dept Phys Elect & Space Sci, Ahmadabad 380009, Gujarat, India; 2.ISRO, Space Applicat Ctr, Ahmadabad 380015, Gujarat, India
推荐引用方式 GB/T 7714	Shah, Esha,Jayaprasad, P.,James, M. E.. Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features[J],2019,47(12):2113-2127.
APA	Shah, Esha,Jayaprasad, P.,&James, M. E..(2019).Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,47(12),2113-2127.
MLA	Shah, Esha,et al."Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 47.12(2019):2113-2127.