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TO IMPROVE CAPTURED IMAGES IN REMOTELY SENSED AREAS USING PCA

  • Unique Paper ID: 148538
  • Volume: 6
  • Issue: 3
  • PageNo: 53-58
  • Abstract:
  • 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.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 6
  • Issue: 3
  • PageNo: 53-58

TO IMPROVE CAPTURED IMAGES IN REMOTELY SENSED AREAS USING PCA

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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