國立高雄大學圖資館 |

登入

回首頁

Remote sensing digital image analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Remote sensing digital image analysisby John A. Richards.
作者:	Richards, J. A.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xx, 567 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Remote-sensing images.
電子資源:	https://doi.org/10.1007/978-3-030-82327-6
ISBN:	9783030823276$q(electronic bk.)

Remote sensing digital image analysis
Richards, J. A.

Remote sensing digital image analysis[electronic resource] /by John A. Richards. - Sixth edition. - Cham :Springer International Publishing :2022. - xx, 567 p. :ill. (some col.), digital ;24 cm.

Sources and characteristics of remote sensing image data -- correcting and registering images -- interpreting images -- radiometric enhancement of images -- geometric processing and enhancement: image domain techniques -- spectral domain image transforms -- spatial domain image transforms -- supervised classification techniques -- clustering and unsupervised classification -- Feature Reduction -- Image Classification in Practice -- Multisource Image Analysis.

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.

ISBN: 9783030823276$q(electronic bk.)

Standard No.: 10.1007/978-3-030-82327-6doiSubjects--Topical Terms:

201934
Remote-sensing images.

LC Class. No.: G70.4 / .R53 2022

Dewey Class. No.: 621.3678

Remote sensing digital image analysis
LDR:02826nmm a2200361 a 4500 001 619341
003 DE-He213
005 20220112011257.0
006 m d
007 cr nn 008maaau
008 221103s2022 sz s 0 eng d
020 $a 9783030823276$q(electronic bk.)
020 $a 9783030823269$q(paper)
024 7 $a 10.1007/978-3-030-82327-6 $2 doi
035 $a 978-3-030-82327-6
040 $a GP $c GP
041 0 $a eng
050 4 $a G70.4 $b .R53 2022
072 7 $a TJF $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.3678 $2 23
090 $a G70.4 $b .R516 2022
100 1 $a Richards, J. A. $3 919554
245 1 0 $a Remote sensing digital image analysis $h [electronic resource] / $c by John A. Richards.
250 $a Sixth edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xx, 567 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Sources and characteristics of remote sensing image data -- correcting and registering images -- interpreting images -- radiometric enhancement of images -- geometric processing and enhancement: image domain techniques -- spectral domain image transforms -- spatial domain image transforms -- supervised classification techniques -- clustering and unsupervised classification -- Feature Reduction -- Image Classification in Practice -- Multisource Image Analysis.
520 $a Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.
650 0 $a Remote-sensing images. $3 201934
650 0 $a Image processing $x Digital techniques. $3 182119
650 1 4 $a Digital and Analog Signal Processing. $3 913395
650 2 4 $a Geotechnical Engineering and Applied Earth Sciences. $3 913450
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Computational Intelligence. $3 338479
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-82327-6
950 $a Engineering (SpringerNature-11647)