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008			220106s2022 sz | s |||| 0|eng d
020			_a9783030823276
024	7		_a10.1007/978-3-030-82327-6 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTA1637
072		7	_aTJF _2bicssc
072		7	_aUYS _2bicssc
072		7	_aTEC008000 _2bisacsh
072		7	_aTJF _2thema
072		7	_aUYS _2thema
090			_aTA1637EBK
100	1		_aRichards, John A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aRemote Sensing Digital Image Analysis _h[electronic resource] / _cby John A. Richards.
250			_a6th ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aSources 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			_aRemote 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	_aSignal processing.
650		0	_aGeotechnical engineering.
650		0	_aArtificial intelligence.
650		0	_aImage processing—Digital techniques.
650		0	_aComputer vision.
650		0	_aComputational intelligence.
650	1	4	_aDigital and Analog Signal Processing.
650	2	4	_aGeotechnical Engineering and Applied Earth Sciences.
650	2	4	_aArtificial Intelligence.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aComputational Intelligence.
653		0	_aImage processing -- Digital techniques
653		0	_aRemote-sensing images
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-030-82327-6 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK