A Multi-spectral Remote Sensing Image Classification Technique Based on Improved

ML AlgorithmFAN Li-heng; LV Jun-wei; YU Zhen-tao; BI Bo

doi:10.3969/j.issn.1671-637x.2014.10.012

[1] LUO X B, ZHAO C H, PAN J P, et al.Intelligent classification and application of romote sensing images［M］.Beijing: Electronic Industry Press, 2011.

[2] NIU Z Y, ZHAO H J.Automatic recognition of multispectral image based on spectral knowledge［J］.Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(2):280-284.

[3] ZHAO C H, ZHANG Y, WANG Y L.Relevant vector machine classification of hyperspectral image based on wavelet kernel principal component analysis［J］.Journal of Electronics & Information Technology, 2012, 34(8):1905-1910.

[4] MEMARSADEGHI N, MOUNT D M, NETANYAHU N S, et al.A fast implementation of the ISODATA clustering algorithm［J］.International Journal of Computational Geo-metry and Applications, 2007, 17:71-103.

[5] STRAHLER A H.The use of prior probabilities in maximum likelihood classification of remotely sensed data［J］.Remote Sensing of Environment, 1980, 10:135-163.

[6] 5ITKENHEAD M J, AALDERS I H.Classification of landsat thematic mapper imagery for land cover using neural networks［J］.International Journal of Remote Sensing, 2008, 29(7):4129-4150.

[7] BRUZZONE L, PRIETO D F, SERPICO S B.A neural-statistical approach to multitemporal and multisource remote-sensing image classification［J］.IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3):1350-1359.

[8] RANIA C, DEEPA S N.PSO with mutation for fuzzy classifier design［J］.Procedia Computer Science, 2010, 2:307-313.

[9] MATHER P M, KOCH M.Computer processing of remotely-sensed images:An introduction［M］.New York:John Wiley & Sons, Ltd, 2011:229-285.

[10] LEITE P B C, FEITOSA R Q, FORMAGGIO A R, et al.Hidden Markov models for crop recognition in remote sensing image sequences［J］.Pattern Recognition Letters, 2011, 32:19-26.

[11] STUMPF A, KERLE N.Combining random forests and object-oriented analysis for landslide mapping from very high resolution imagery［J］.Procedia Environmental Sciences, 2011, 3:14-19.

[12] BONISSONE P, CADENAS J M, GARRIDO M C, et al.A fuzzy random forest［J］.International Journal of Approximate Reasoning, 2010, 51:729-747.

[13] STUMPF A, KERLE N.Object-oriented mapping of landslides using random forests［J］.Remote Sensing of Environment, 2011, 115:2564-2577.

[14] TADJUDIN S.Classification of high dimensional data with limited training samples［D］.West Lafayette:Purdue University, 1998.

[15] LINEAR J L.Unmixing of multispectral signals via wavelet feature selection［D］.Starkville:Mississippi State University, 2002.

[16] FOODY G M.Status of land cover classification accuracy assessment［J］.Remote Sensing of Environment, 2002, 80:185-201.

[17] BISHOP Y M, FIENBERG S E, HOLLAND P W.Discrete multivariate analysis:Theory and practice［M］.Cambridge: MIT Press, 1975.

[18] MONTSERUD R A, LEAMANS R.Comparing global vege-tation maps with the Kappa statistic［J］.Ecological Model-ling, 1992, 62: 275-293.