000			02026nam a2200349 i 4500
001			CR9781108566285
003			UkCbUP
005			20240730160805.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			180312s2019||||enk o ||1 0|eng|d
020			_a9781108566285 (ebook)
020			_z9781108475129 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050		4	_aTA1634 _b.J67 2019
082	0	4	_a006.3/7 _223
100	1		_aJoshi, Manjunath V., _eauthor. _974777
245	1	0	_aMulti-resolution image fusion in remote sensing / _cManjunath V. Joshi, Kishor P. Upla.
264		1	_aCambridge : _bCambridge University Press, _c2019.
300			_a1 online resource (xx, 234 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 11 Dec 2018).
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		0	_aMultispectral imaging. _974778
650		0	_aComputer vision. _974779
700	1		_aUpla, Kishor P., _eauthor. _974780
776	0	8	_iPrint version: _z9781108475129
856	4	0	_uhttps://doi.org/10.1017/9781108566285
942			_cEBK
999			_c84242 _d84242