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Multi-resolution image fusion in rem...

Joshi, Manjunath V.

Multi-resolution image fusion in remote sensing

紀錄類型:	書目-語言資料,印刷品 : 單行本
作者:	JoshiManjunath V.,
其他作者:	UplaKishor P.,
出版地:	Cambridge
出版者:	Cambridge University Press;
出版年:	c2019.
面頁冊數:	xx, 234 p.ill. (some col.) : 24 cm.;
標題:	Multispectral imaging. -
標題:	Computer vision. -
摘要註:	Written 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.
ISBN:	9781108475129

Multi-resolution image fusion in remote sensing
Joshi, Manjunath V.

Multi-resolution image fusion in remote sensing / Manjunath V. Joshi, Kishor P. Upla. - Cambridge : Cambridge University Press, c2019.. - xx, 234 p. ; ill. (some col.) ; 24 cm..
Includes bibliographical references..
ISBN 9781108475129ISBN 1108475124
Multispectral imaging.Computer vision.

Upla, Kishor P.

Multi-resolution image fusion in remote sensing
LDR:01410nam a2200193I 450 001 390481
010 1 $a 9781108475129 $b hbk. $d NT2650
010 1 $a 1108475124 $b hbk.
100 $a 20180312d2019 k y0engy50 b
101 0 $a eng
102 $a gb
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200 1 $a Multi-resolution image fusion in remote sensing $f Manjunath V. Joshi, Kishor P. Upla.
210 $a Cambridge $c Cambridge University Press $d c2019.
215 1 $a xx, 234 p. $c ill. (some col.) $d 24 cm.
320 $a Includes bibliographical references.
330 $a Written 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.
606 $a Multispectral imaging. $2 lc $3 382048
606 $a Computer vision. $2 lc $3 27610
676 $a 006.3/7 $v 23
680 $a TA1634 $b .J67 2019
700 1 $a Joshi $b Manjunath V. $3 382046
702 1 $a Upla $b Kishor P. $3 382047
801 0 $a cw $b CTU $c 20200710 $g AACR2