Abstract
Feature extraction from imagery is an important and long-standing problem in remote sensing. In this paper, we report on work using genetic programming to perform feature extraction simultaneously from multispectral and digital elevation model (DEM) data. We use the GENetic Imagery Exploitation (Genie) software for this purpose, which produces image-processing software that inherently combines spatial and spectral processing. Genie is particularly useful in exploratory studies of imagery, such as one often does in combining data from multiple sources. The user trains the software by painting the feature of interest with a simple graphical user interface. Genie then uses genetic programming techniques to produce an image-processing pipeline. Here, we demonstrate evolution of image processing algorithms that extract a range of land cover features including towns, wildfire burnscars, and forest. We use imagery from the DOE/NNSA Multispectral Thermal Imager (MTI) spacecraft, fused with USGS 1:24000 scale DEM data.
Original language | English (US) |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Editors | S.S. Shen, P.E. Lewis |
Pages | 338-345 |
Number of pages | 8 |
Volume | 4725 |
DOIs | |
State | Published - 2002 |
Externally published | Yes |
Event | Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII - Orlando, FL, United States Duration: Apr 1 2002 → Apr 4 2002 |
Other
Other | Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII |
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Country/Territory | United States |
City | Orlando, FL |
Period | 4/1/02 → 4/4/02 |
Keywords
- Evolutionary computation
- Feature extraction
- Image processing
- Multispectral analysis
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics