Automatic target detection and recognition in multiband imagery: a unified ML detection and estimation approach

@article{Yu1997AutomaticTD,
  title={Automatic target detection and recognition in multiband imagery: a unified ML detection and estimation approach},
  author={Xiaoli Yu and Lawrence E. Hoff and Irving S. Reed and An Mei Chen and Larry B. Stotts},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1997},
  volume={6 1},
  pages={
          143-56
        }
}
  • Xiaoli Yu, Lawrence E. Hoff, +2 authors Larry B. Stotts
  • Published in IEEE Trans. Image Processing 1997
  • Mathematics, Computer Science, Medicine
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
  • Multispectral or hyperspectral sensors can facilitate automatic target detection and recognition in clutter since natural clutter from vegetation is characterized by a grey body, and man-made objects, compared with blackbody radiators, emit radiation more strongly at some wavelengths. Various types of data fusion of the spectral-spatial features contained in multiband imagery developed for detecting and recognizing low-contrast targets in clutter appear to have a common framework. A generalized… CONTINUE READING

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