Extracting curvilinear features from synthetic aperture radar images of Arctic ice: algorithm discovery using the genetic programming paradigm

Focuses on how a method for automated programming (i.e., genetic programming) applies in the computer-aided discovery of algorithms that enhance and extract features from remotely sensed images. Highlighted as a case study is the use of this method in the problem of extracting pressure ridge features from ERS-1 SAR imagery; a problem for which there has been no known satisfactory solution.