Change detection algorithm for multi-temporal satellite images: a review

  • Authors

    • M Bhavani
    • V Hanifar Sangeetha
    • K Kalaivani
    • K Ulagapriya
    • A Saritha
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.21.12173
  • Change detection, principal component analysis, remote sensing

  • Change detection (CD) is the process of detecting changes from multitemporal satellite images that have undergone spatial changes due to natural and man-made disaster. The objective is to analyse different change detection techniques, in order to use appropriately in various applications with the help of image processing. Techniques that are used in current researches are Image Differencing, Image Regression, Change Vector Analysis (CVA),Principal Component Analysis(PCA), Tasselled Cap, Gramm-Schmidt(GS), Post Classification Comparison, EM Detection, Unsupervised Change Detection, Li-Strahler Reflectance Model, Spectral Mixture Model, Biophysical Parameter Method, Integrated GIS and Remote Sensing Method, GIS Approach, Visual Interpretation and so on. Effective change detection is required for various applications such as rate of deforestation, costal changes, urban developments, damage evaluation, resource monitoring and land disposition.

     

     

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  • How to Cite

    Bhavani, M., Hanifar Sangeetha, V., Kalaivani, K., Ulagapriya, K., & Saritha, A. (2018). Change detection algorithm for multi-temporal satellite images: a review. International Journal of Engineering & Technology, 7(2.21), 206-209. https://doi.org/10.14419/ijet.v7i2.21.12173