Abstract

Timely and accurate change detection of Earth's surface features is extremely important for understanding relationships and interactions between human and natural phenomena in order to promote better decision making. Remote sensing data are primary sources extensively used for change detection in recent decades. Many change detection techniques have been developed. This paper summarizes and reviews these techniques. Previous literature has shown that image differencing, principal component analysis and post-classification comparison are the most common methods used for change detection. In recent years, spectral mixture analysis, artificial neural networks and integration of geographical information system and…

Citation impact

3,188
total citations
FWCI
83.06
Percentile
100%
References
252
Citations per year

Authors

4

Topics & keywords

Keywords
  • Change detection
  • Remote sensing
  • Computer science
  • Multispectral image
  • Advanced Spaceborne Thermal Emission and Reflection Radiometer
  • Satellite
  • Radiometer
  • Artificial neural network
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Funding