Two improvement schemes of PAN modulation fusion methods for spectral distortion minimization

$61.74 plus tax (Refund Policy)

Buy Article:

Abstract:

Fusion of panchromatic (PAN) and multispectral (MS) images is one of the most promising issues in remote sensing. PAN modulation fusion methods are usually based on an assumption that a ratio of two different-resolution versions of an MS band is equal to a ratio of two different-resolution versions of a PAN image. In such fusion methods, image haze is rarely taken into account, and it may produce serious spectral distortion in synthetic images. In this paper, assuming that the previous ratio relationship only holds for haze-free images, two relevant improvement schemes are proposed to better express the ratio relationship of haze-included images. In a test on a spatially degraded IKONOS dataset, the first scheme synthesizes an image with minimum spectral distortion, and the second modifies several current PAN modulation fusion methods and generates high-quality synthetic products. The experiment results confirm that image haze can seriously impact the quality of fused images obtained by using PAN modulation fusion methods, and it should be taken into account in relevant image fusion.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160802549260

Affiliations: 1: Department of Earth and Space Science and Engineering, York University, Toronto, Ontario, Canada M3J 1P3 2: Department of Earth and Space Science and Engineering, York University, Toronto, Ontario, Canada M3J 1P3,State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, PR China

Publication date: April 1, 2009

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more