【Title】ICE CREVASSE DETECTION BASED ON GRAY LEVEL CO-OCCURRENCE MATRIX
【Abstract】Crevasse is one of the most dangerous factors to the team members during the field expedition. Crevasse detection is very important in polar scientific research expedition for the safety; meanwhile, it is also meaningful information for ice flow monitoring. This paper presents the preliminary study on ice crevasse texture analysis and recognition based on SPOT image of Grove Mountains, east Antarctica. And gray level co-occurrence matrix is chosen at first to recognize the crevasse texture. Combined with the navigation route, the results are analyzed. More texture analysis methods will be studied in optical and radar imagery in further research.