2022年遥感算法IDL源码 .pdf

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1、图像预处理DWT fusion sharpen multispectral images with discrete wavelet transform A trous fusion ditto with a trous wavelet transform Wang-Bovik quality index evaluate radiometric fidelity of pansharpened images C-correction correct for solar illumination in rough terrain Kernel PCA perform nonlinear pri

2、ncipal components analysis (can take advantage of GPULib) Kernel MAF perform nonlinear maximum autocorrelation factor analysis (can take advantage of GPULib) Contour-match get tie-points for image-image registration from invariant features 监督分类Bayes maximum likelihood wrapper for the ENVI ML classif

3、ier Support vector machine wrapper for the ENVI SVM classifier Hybrid two-layer neural network trained with kalman filter and scaled conjugate gradient algorithms Two-layer neural network trained with scaled conjugate gradient algorithm (can take advantage of GPULib) Boosted three-layer neural netwo

4、rk apply adaptive boosting (AdaBoost) to a sequence of neural networks Gaussian kernel classification non-parametric Parzen-window classification (can take advantage of GPULib) Probabilistic label relaxation perform postclassification filtering Contingency table calculate confusion matrices and kapp

5、a values McNemar test compare classifiers with the McNemar statistic 非监督分类Expectation maximization cluster image data with a mixture of multivariate Gaussians (can take advantage of GPULib) FKM clustering cluster image data with a fuzzy K-means algorithm HCL clustering cluster image data with a heir

6、archic agglomerative algorithm Kernel K-means cluster image data with a kernel version of K-means (can take advantage of GPULib) Kohonen SOM visualize image data with the Kohonen self-organizing map Mean shift segment images with mean-shift algorithm 变化监测IR-MAD (iMAD) apply iteratively re-weighted m

7、ultivariate alteration detection Radcal perform automatic relative radiometric normalization of images 名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 1 页，共 4 页 - - - - - - - - - MadView set thresholds on MAD images 其他Structure height use RFMs to determine height of v

8、ertical structures Class segmentation Segment a classified image Examples example IDL programs from the 2nd edition Solutions some solutions to the progamming exercises in the 2nd edition CUDA (experimental)Cuda_SVD a DLM for singular value decomposition on CUDA Cuda_NDVI a DLM for calculating NDVI

9、indices on CUDA Cuda_STRETCH a DLM for enhacement stretching on CUDA 图像预处理DWT fusion sharpen multispectral images with discrete wavelet transform A trous fusion ditto with a trous wavelet transform Wang-Bovik quality index evaluate radiometric fidelity of pansharpened images C-correction correct for

10、 solar illumination in rough terrain Kernel PCA perform nonlinear principal components analysis (can take advantage of GPULib) Kernel MAF perform nonlinear maximum autocorrelation factor analysis (can take advantage of GPULib) Contour-match get tie-points for image-image registration from invariant

11、features 监督分类Bayes maximum likelihood wrapper for the ENVI ML classifier Support vector machine wrapper for the ENVI SVM classifier Hybrid two-layer neural network trained with kalman filter and scaled conjugate gradient algorithms Two-layer neural network trained with scaled conjugate gradient 名师资料

12、总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 2 页，共 4 页 - - - - - - - - - algorithm (can take advantage of GPULib) Boosted three-layer neural network apply adaptive boosting (AdaBoost) to a sequence of neural networks Gaussian kernel classification non-parametric Parzen

13、-window classification (can take advantage of GPULib) Probabilistic label relaxation perform postclassification filtering Contingency table calculate confusion matrices and kappa values McNemar test compare classifiers with the McNemar statistic 非监督分类Expectation maximization cluster image data with

14、a mixture of multivariate Gaussians (can take advantage of GPULib) FKM clustering cluster image data with a fuzzy K-means algorithm HCL clustering cluster image data with a heirarchic agglomerative algorithm Kernel K-means cluster image data with a kernel version of K-means (can take advantage of GP

15、ULib) Kohonen SOM visualize image data with the Kohonen self-organizing map Mean shift segment images with mean-shift algorithm 变化监测IR-MAD (iMAD) apply iteratively re-weighted multivariate alteration detection Radcal perform automatic relative radiometric normalization of images MadView set threshol

16、ds on MAD images 其他Structure height use RFMs to determine height of vertical structures Class segmentation Segment a classified image Examples example IDL programs from the 2nd edition Solutions some solutions to the progamming exercises in the 2nd edition CUDA (experimental) Cuda_SVD a DLM for sing

17、ular value decomposition on CUDA Cuda_NDVI a DLM for calculating NDVI indices on CUDA 名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 3 页，共 4 页 - - - - - - - - - Cuda_STRETCH a DLM for enhacement stretching on CUDA 名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 4 页，共 4 页 - - - - - - - - -