000 | nam a22 7a 4500 | ||
---|---|---|---|
999 |
_c29472 _d29472 |
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008 | 190427b xxu||||| |||| 00| 0 eng d | ||
020 |
_a9781108475129 _c(hbk) |
||
082 |
_a006.37 _bJOS |
||
100 | _aJoshi, Manjunath V. | ||
245 | _aMulti-resolution image fusion in remote sensing | ||
260 |
_aUnited Kingdom : _bCambridge University Press, _c2019 |
||
300 |
_axx, 234 p. : _bill. ; _c22.7 cm. |
||
365 |
_aGBP _b64.99 _d00 |
||
504 | _aIncludes bibliographical references. | ||
520 | _aWritten in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning. | ||
650 | _aMultispectral imaging | ||
650 | _aComputer vision | ||
942 |
_2ddc _cBK |