Special Section on Advances in Remote Sensing for Monitoring Global Environmental Changes

Improving spectral fidelity of WorldView-2 image fusion via a constrained generalized intensity-hue-saturation model with localized weight structure through land cover classification

[+] Author Affiliations
Minhe Ji

East China Normal University, Key Lab of GIScience, Education Ministry of China, 500 Dongchuan Road, Shanghai 200241, China

Wen Chen

Tongji University, Center for Spatial Information Science and Sustainable Development Applications, 1239 Siping Road, Shanghai, China

Wei Wang

East China Normal University, Key Lab of GIScience, Education Ministry of China, 500 Dongchuan Road, Shanghai 200241, China

J. Appl. Remote Sens. 6(1), 061707 (Dec 17, 2012). doi:10.1117/1.JRS.6.061707
History: Received September 20, 2012; Revised November 20, 2012; Accepted November 27, 2012
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Abstract.  Applications of the intensity-hue-saturation (IHS) based image fusion techniques in resource inventory and environmental monitoring are usually hampered by considerable spectral distortion in the spatially enhanced image. The image transform model needs to be regulated via a proper design of the weight structure and controlling parameters to achieve a better spectral fidelity. Use of localized weight estimation and an output constraint to modify the generalized intensity-hue-saturation transform (GIHS) for the purpose of rectifying digital numbers of the fused image back to their original counterparts are proposed. The weight localization was achieved via land cover classification of the multispectral data, and the spectral constraint was constructed using a ratio between individual spectral bands stratified with each land cover type and the modified image intensity value. This method was compared both spatially and spectrally with the traditional IHS and the GIHS that has a weight structure induced from the sensor’s spectral response characteristics. Experiments with WorldView-2 multispectral and panchromatic data indicated that the new image fusion approach achieved the highest level of spectral fidelity with enhancement of spatial details comparable to the other IHS-based methods.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Minhe Ji ; Wen Chen and Wei Wang
"Improving spectral fidelity of WorldView-2 image fusion via a constrained generalized intensity-hue-saturation model with localized weight structure through land cover classification", J. Appl. Remote Sens. 6(1), 061707 (Dec 17, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.061707


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