Paper
28 January 2002 Use of intensity-hue-saturation (IHS) transformations in change detection of multitemporal remotely sensed data
Ayman Nasr Hamed Nasr, Ahmed M. Darwish, Samir I. Shaheen
Author Affiliations +
Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454166
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
A variety of techniques exist for change detection of multitemporal remotely sensed satellite data. The Intensity- Hue-Saturation (IHS) color space is very useful for image processing because it separates the color information in ways that correspond to the human visual system's response. In this study, a novel approach, emphasizing the use of the hue component of the IHS transformations of Landsat data, is proposed and examined for multitemporal change detection. Two Landsat Thematic Mapper (TM) scenes acquired on 1987 and 1997 covering the western part of El-Fayoum area and El- Rayan lakes in Egypt have been processed (geometrically corrected and radiometrically balanced) and transformed to the IHS space. The results of using the hue component in detecting the changes are very promising. A number of changed areas including water and agriculture land were successfully detected. The used color theme print, which display the spatial pattern of change in map form, was of great significance in interpreting the environmental changes and the statistical estimation of these changes has been carried out as well.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ayman Nasr Hamed Nasr, Ahmed M. Darwish, and Samir I. Shaheen "Use of intensity-hue-saturation (IHS) transformations in change detection of multitemporal remotely sensed data", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454166
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Cited by 2 scholarly publications.
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KEYWORDS
RGB color model

Image processing

Earth observing sensors

Landsat

Satellites

3D modeling

Agriculture

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