TO IMPROVE CAPTURED IMAGES IN REMOTELY SENSED AREAS USING PCA
sonia attri, Mohit trehan
remote images, wavelet, PCA
Now there are legions of techniques for detecting changes in remotely sensed area. In this paper we proposed PCA and DWT based technique that utilized wavelet kernel to detect changes in remotely sensed images. The effectiveness of the proposed method has been tested and verified with experiments on real image change detection. The MWF kernel method can be used for detecting changes in large and full scale images. The results are shown in terms of detected area and accuracy.