References: [1] Barlow, N. G. (1988). Crater Size-Frequency Distributions and a Revised Martian Relative Chronology, Icarus, 75 (2) 285-305. [2] Di, K., Li, W., Yue, Z., Sun, Y., Lui, Y. (2014). A Machine Learning Approach to Crater Detection From Topographic Data, Advances in Space Research, 54 (11) 2419-2429. [3] Stepinski, T. F. (2012). Ding, W., Vilalta, R. (2012). Detecting Impact Craters in Planetary Images Using Machine Learning, p 146- 159. [4] Vamshi, G. T., Martha, T. R., Kumar, K.V. (2016). An Object-Based Classification Method for Automatic Detection of Lunar Impact Craters From Topographic Data, Advances in Space Research, vol. 57, p 1978-1988. [5] Kim, J. R., Muller, J., van Gasselt, S., Morley, J. G., Neukum, G. (2005). Automated Crater Detection, a New Tool for Mars Cartography and Chronology, Photogramm. Eng. Remote Sens., 71 (10) 1205-1217. [6] Wetzler, P. G., Honda, R., Enke, B., Merline, W. J., Chapman, C. R., Burl, M. C. (2005). Learning to Detect Small Impact Craters, Proceedings 7th IEEE WACV/MOTION, p 178-184. [7] Wang, Y., Yang, G., Guo, L. (2015). A Novel Sparse Boosting Method for Crater Detection in the High Resolution Planetary Image, Advances in Space Research, 56 (5) 982- 991. [8] Do Carmo, M. P. (1976). Differential Geometry of Curves and Surfaces, p 2-30, 1976. [9] Ojala, T., Pietikainen, M., Harwood, D. (1994). Performance Evaluation of Texture Measures with Classification Based on Kullback Discrimination of Distributions, International Conference on Pattern Recognition, p 582-585, 1994. [10] Wang, L., He, D. (1990). Texture Classification Using Texture Spectrum, Pattern Recognition, 23 (8), p 905-910, 1990. [11] Viola, P., Jones, M. (2001). Rapid Object Detection Using a Boosted Cascade of Simple Features, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p 511-518, 2001. [12] Viola, P., Jones, M. (2004). Robust Real-time Face Detection, International Journal of Computer Vision, 57, p137- 154, 2004. [13] Hsu, C.W., Chang, C. C., Lin, C. J. (2016). A Practical Guide to Support Vector Classification, 2016. [14] Cleveland, W. S., Devlin. S. J. (1988). Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol. 83, p 596-610, 1988. [15] http://www.cs.princeton.edu/courses/archive/spr07/cos424/papers /mitchell-dectrees.pdf |