BRUZZONE L, MARCONCINI M. Toward the automatic updating of land-cover maps by a domain-adaptation SVM classifier and a circular validation strategy[J]. IEEE Trans Geosci Remote Sens, 2009, 47(4): 1108-1122.
[2]
DEMIR B, ERTURK S. Clustering-based extraction of border training patterns for accurate SVM classification of hyperspectral images[J]. IEEE Geosci Remote Sens Lett, 2009, 6(4): 840-844.
[3]
王立国, 王群明, 刘丹凤, 等. 基于几何估计的光谱解混方法[J]. 红外与毫米波学报, 2013, 32(1): 56-61.WANG Liguo, WANG Qunming, LIU Danfeng, et al. Geometric estimation method of spectral unmixing[J].Journal of Infrared and Millimeter Waves, 2013, 32(1): 56-61
[4]
MATHUR A, FOOFY G M. Crop classification by a SVM with intelligently selected training data for an operational application[J]. International Journal of Remote Sensing, 2008, 29(8): 2227-2240.
[5]
HUANG C, DAVIS L S, TOWNSHEND J R G. An assessment of support vector machines for land cover classification[J]. Int J Remote Sens, 2002, 23(4): 725-749.
[6]
SUYKENS J A K, BRABANTER J D, LUKAS L, et al. Weighted least squares support vector machines[J]. Neurocomputing, 2002, 48(1/4): 85-105.
[7]
SUYKENS J A K, LUKAS L, VANDEWALLE J. Sparse approximation using least squares support vector machines[J]. IEEE International Symposium on Circuits and Systems, 2000, 2: 757-760.
[8]
吴宗亮, 窦衡. 一种新的最小二乘支持向量机稀疏化算法[J].计算机应用, 2009, 29(6): 1559-1562.WU Zongliang, DOU Heng. New sparse least squares support vector machine algorithm[J].Journal of Computer Applications, 2009, 29(6): 1559-1562.
[9]
HSU C W, LIN C J. A comparison of methods for multi-class support vector machines[J].IEEE Trans Neural Netw, 2002, 13(2): 415-425.
[10]
PLATT J C, CRISTIANINI N, SHAWE-TAYLOR J. Large margin DAGs for multiclass classification[J]. Proc Adv Neural Inf Process Syst, 2000, 12(6): 547-553.
[11]
VERHOEYE J, de WULF R R. Land-cover mapping at sub-pixel scales using linear optimization techniques[J]. Remote Sensing of Environment, 2002, 79(1): 96-104.
[12]
FARAG A A, MOHAMED R M, EL-BAZ A. A unified framework for map estimation in remote sensing image segmentation[J]. IEEE Trans Geosci Remote Sensing, 2005, 43(7): 1617-1634.
[13]
BOVOLO F, BRUZZONE L. A context-sensitive technique based on support vector machines for image classification[M]. Berlin: Pattern Recognition and Machine Intelligence, 2005: 260-265.
[14]
GONG Peng, KELLY M, LIU Desheng. A spatial-temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery[J]. Remote Sening of Environment, 2006, 101(2): 167-180.
[15]
郑玮. 基于模糊马尔科夫随机场的遥感图像分割算法研究[D]. 成都: 电子科技大学, 2007: 28-35. ZHENG Wei. Research on remote sensing image segmentation algorithms based on fuzzy Markov random field[D].Chengdu: University of Electronic Science and Technology of China, 2007: 28-35.