Multi-resolution and Multi-sensor Data Fusion for Remote Sensing in Detecting Air Pollution

Authors:
Amir Zia;Victor DeBrunner;Arulamani Chinnaswamy;Linda DeBrunner
Affiliations:
-;-;-;-
Venue:
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
Year:
2002

Citing 0
Cited 1

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Expert Systems with Applications: An International Journal

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Abstract

A study is being conducted to locate areas with air pollution around Oklahoma City. This paper describes an interpolation method required to fuse the multi-spectral and multi-sensor remotely sensed images used in this project. The interpolation method preserves appropriate textural features.