期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：1017-1024
出版社：Copernicus Publications
摘要：Rock segmentation is important for the success of the Mars Exploration Rover mission and its scientific studies. In this paper, a framework for automated rock segmentation using texture-based image segmentation and edge-flow driven active contour is developed and implemented. Three schemes: wavelet based local transform, multi-resolution histograms, and inter-scale decision fusion are combined and applied for texture-based image segmentation. The result is refined by active contour based on level set method, which is propagated in the edge flow vector field. Test images taken by the panorama and navigation cameras on the rover Spirit at the Gusev Crater landing site are used in this study. This paper presents the theory, implementation, and the test results along with discussions on the performance of the proposed method
