A BAYESIAN NETWORK FRAMEWORK FOR AUTOMATIC DETECTION OF LUNAR IMPACT CRATERS BASED ON OPTICAL IMAGES AND DEM DATA
Impact craters are among the most noticeable geo-morphological features on the planetary surface and yield significant information on terrain evolution and the history of the solar system. Thus, the recognition of lunar impact craters is an important branch of modern planetary studies. To address pr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W1/183/2017/isprs-archives-XLII-3-W1-183-2017.pdf |