Cloud detection algorithm based on the Orthogonal Matching Pursuit

Wang Yi; He Mingyuan; Ge Jingjing; Xiang Jie

doi:10.3788/irla201948.1203003

[1] Wang Yi. Development and Application of the New International Earth Observation System[M]. Beijing: China Metedogical Press, 2006: 4. (in Chinese)

[2] Goodman A H, Henderson-Sellers A. Cloud detection and analysis: A review of recent progress [J]. Atmospheric Research, 1988, 21: 203-228.

[3] William B Rossow, Leonid C Garder. Cloud detection using satellite measurements of infrared and visible radiances for ISCCP [J]. Journal of Climate, 1993, 6: 2341-2369.

[4] Chan J. Comment on changes in tropical cyclone number, duration, and intensity in a warming environment [J]. Science, 2006, 311: 1713.

[5] Ma Fang, Zhang Qiang, Guo Ni, et al. The study of cloud detection with multi-channal data of satellite[J].Chinese Jounal of Atmosphere Science, 2007, 31(1): 119-128. (in Chinese)

[6] Li Yanbing, Li Yuanxiang, Zhai Jingqiu. A method of extracting and representing morphological feathers of satellite cloud image[J]. Jounal of Nanjing Institue Meteology, 2006, 29(5): 682-687. (in Chinese)

[7] Wu Yongming, Zhang Ren, Jiang Guorong, et al. A fuzzy clustering method for multi-spectral satellite image[J]. Jounal of Tropical Meteology, 2004, 20(6): 689-696. (in Chinese)

[8] Shi Chunxiang, Qu Jianhua. Cloud classification for NOAA-AVHRR data by using a neural network[J]. Acta Meteorologica Sinica, 2002, 2: 123-128. (in Chinese)

[9] Hong Mei, Zhang Ren, Sun Zhaobo. A high-dimension feature spaces clustering and corresponding weather classification for multi-spectral satellite images[J]. Journal of Remote Sensing, 2006, 2(10): 42-48. (in Chinese)

[10] Chen Gangyi, Ding Xuyi, Zhao Liyan. An automatical pattern recognition techniques of cloud based on fuzzy neural network[J]. Chinese Journal of Atmosphere Science, 2005, 29(5): 169-176. (in Chinese)

[11] Guo Hongtao, Wang Yi, Liu Xiangpei, et al. Integrated optimal method of cloud detection with meteorological satellite data[J]. Journal of PLA University of Science and Technology(Nature Science Edition), 2010, 11(2):221-227. (in Chinese)

[13] Shuai Chunxiang, Wu Rongzhang, Xiang Xukang. Automatic segmentation of satellite image using hierarchical threshold and neural network[J]. Journal of Applied Meteorological Science, 2001, 12(1): 69-78. (in Chinese)

[14] Xue Juntao, Liu Zhengguang, Liu Huanzhu. Application of wavelet transforms on the boundary processing of the infrared satellite cloud image[J]. Journal of Tianjin University (Science and Technology), 2002, 35(6): 736-739. (in Chinese)

[15] Harsanyi J C, Chang C I. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach [J]. IEEE Trans Geosci Remote Sens, 1994, 32(4): 779-785.

[16] Mallat S, Zhang Z F． Matching pursuits with time-frequency dictionaries [J]． IEEE Transactions on Signal Processing, 1993, 41(12): 3397-3415．

[17] Wen J M, Zhou Z C, Wang J, et al． A sharp condition for exact support recovery of sparse signals with orthogonal matching pursuit[C]//2016 IEEE International Symposium on Information Theory, IEEE, 2016: 2364-2368．

[18] Needell D, Vershynin R． Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit [J]． IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 310-316．

[19] Needell D, Tropp J A． CoSaMP: iterative signal recovery from incomplete and inaccurate samples [J]． Applied and Computational Harmonic Analysis, 2009, 26(3): 301-321．

[20] Manolakis D, Shaw G. Detection algorithms for hyperspectral imaging applications [J]. IEEE Signal Process Lett, 2002, 19(1): 29-43.

[21] Tropp J A, Gilbert A C． Signal recovery from random measurements via orthogonal matching pursuit [J]． IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666．