• Mathematics, Medicine, Computer Science
  • Published in IEEE Trans. Image Processing 1997
  • DOI:10.1109/83.552106

Detection and analysis of change in remotely sensed imagery with application to wide area surveillance

@article{Carlotto1997DetectionAA,
  title={Detection and analysis of change in remotely sensed imagery with application to wide area surveillance},
  author={Mark J. Carlotto},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1997},
  volume={6 1},
  pages={
          189-202
        }
}
A new approach to wide area surveillance is described that is based on the detection and analysis of changes across two or more images over time. Methods for modeling and detecting general patterns of change associated with construction and other kinds of activities that can be observed in remotely sensed imagery are presented. They include a new nonlinear prediction technique for measuring changes between images and temporal segmentation and filtering techniques for analyzing patterns of… CONTINUE READING

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