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[1]LI Chun-jing,XU Da.Study on the Extraction of Land Coverage Type Based on Improved Wavelet Transform[J].Research of Soil and Water Conservation,2010,17(05):195-198.

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Study on the Extraction of Land Coverage Type Based on Improved Wavelet Transform

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 17 Number of periods: 2010 05 Page number: 195-198 Column: Public date: 2010-10-20

Title:: Study on the Extraction of Land Coverage Type Based on Improved Wavelet Transform

Author(s):: LI Chun-jing¹, XU Da²; 1. North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China;
2. Monitoring Center for Forest Resource in Zhejiang Province, Hangzhou 310020, China

Keywords:: wavelet transform; fusion; Land coverage type; extraction

CLC:: S757

DOI:: -

Abstract:: In order to take advantage of low frequency information of high-resolution image and improve the ability of image interpretation during fusing the multi-source image, in this study, taking multi-spectral bands and panchromatic band of SPOT5 as the data source, using MatLab and remote sensing software ENVI as analysis tools, the traditional wavelet fusion algorithm is improved and is used for the image fusion at the same time, comparing to the traditional fusion methods, the entropy and clarity of improved wavelet fused image are improved distinctly, the extraction of land coverage type are accomplished according to the supervised classification using the improved wavelet fused image and traditional fused image, the results show that the classification effects which use the improved wavelet fusion image are better, the whole classification accuracy and kappa coefficient are improved among these methods. The effect of combing methods of Mahalanobis Distance and Decision Tree basing on improved wavelet fused image is the best.

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