Abstract
We have developed an automated feature detection/classification system, called GENetic Imagery Exploitation a (GENIE), which has been designed to generate image processing pipelines for a variety of feature detection/classification tasks. GENiE is a hybrid evolutionary algorithm that addresses the general problem of finding features of interest in multispectral remotely-sensed images. We describe our system in detail together with experiments involving comparisons of GENIE with several conventional supervised classification techniques, for a number of classification tasks using multispectral remotely sensed imagery.
Original language | English (US) |
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Pages (from-to) | 393-404 |
Number of pages | 12 |
Journal | IEEE Transactions on Geoscience and Remote Sensing |
Volume | 40 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2002 |
Externally published | Yes |
Keywords
- Evolutionary algorithms
- Genetic programming
- Image processing
- Multispectral imagery
- Remote sensing
- Supervised classification
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- General Earth and Planetary Sciences