NDLI: Quality Assessment of Panchromatic and Multispectral Image Fusion for the ZY-3 Satellite: From an Information Extraction Perspective

Content Provider	IEEE Xplore Digital Library
Author	Xin Huang Dawei Wen Junfeng Xie Liangpei Zhang
Copyright Year	2004
Abstract	The first results of multispectral (MS) and panchromatic (PAN) image fusion for the ZiYuan-3 (ZY-3) satellite, which is China's first civilian high-resolution satellite, are announced in this study. To this end, the various commonly used image fusion (pan-sharpening) techniques are tested. However, traditionally, image fusion quality is assessed by measuring the spectral distortion between the original and the fused MS images. The traditional methods focus on the spectral information at the data level but fail to indicate the image content at the information level, which is more important for specific remote sensing applications. In this context, we propose an information-based approach for assessing the fused image quality by the use of a set of primitive indices which can be calculated automatically without a requirement for training samples or machine learning. Experiments are conducted using ZY-3 PAN and MS images from Wuhan, central China. One of the objectives of the experiments is to investigate the appropriate image fusion strategies for the ZY-3 satellite at both the data and information levels. On the other hand, the experiments also aim to reveal the inadequacy of the traditional image quality indices and the advantages of the proposed information indices for describing image content. It is suggested that an appropriate image quality index should take into account the global and local image features at both the data and information levels.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	753
Ending Page	757
Page Count	5
File Size	1475385
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buildings Image fusion Image quality Satellites Indexes Remote sensing Accuracy ZiYuan-3 (ZY-3) High spatial resolution image fusion image quality information extraction pan-sharpening
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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