Author_Institution :
Sixth Landforms Surveying Team of SBSM, Sichuan Third Surveying & Mapping Eng. Inst., Chengdu, China
Abstract :
WorldView-2 image data is an important data source for general survey project of geographic national conditions in China. In this research, eight methods, namely Brovey, Ehlers, HPF, HIS, PCA, Wavelet, Pan-Sharpen and Gram-Schimdt were adopted to fuse panchromatic and multi-spectral images of WorldView-2. Qualitative analysis from the aspects of clarity, texture and tone, and quantitative evaluation from the aspects of standard deviation, information entropy, average gradient, deviation index, correlation coefficients, and spectral distortion degree had been done. The results show that the image distortion degree based on the transformation method of Pan-Sharpen is smaller, and meanwhile, the fused image can largely keep the spatial texture details of high-resolution panchromatic band, so it is a suitable method for fusion of WorldView-2 images.
Keywords :
geophysical image processing; gradient methods; image fusion; image texture; principal component analysis; Brovey; Ehlers; Gram-Schimdt; HIS; HPF; PCA; Pan-Sharpen; Pan-Sharpen transformation method; Sichuan China; Wavelet; WorldView-2 image evaluation; WorldView-2 image fusion; average gradient; correlation coefficients; data source; deviation index; fuse panchromatic; geographic national conditions; image distortion degree; information entropy; multispectral images; spectral distortion degree; standard deviation; Correlation coefficient; Gray-scale; Information entropy; Principal component analysis; Remote sensing; Spatial resolution; Standards; WorldView-2; data fusion; general survey of geographic national conditions; qualitative analysis; quantitative evaluation;
