000			03596nam a22005415i 4500
001			978-3-642-30062-2
003			DE-He213
005			20140220082847.0
007			cr nn 008mamaa
008			120913s2013 gw | s |||| 0|eng d
020			_a9783642300622 _9978-3-642-30062-2
024	7		_a10.1007/978-3-642-30062-2 _2doi
050		4	_aTK5102.9
050		4	_aTA1637-1638
050		4	_aTK7882.S65
072		7	_aTTBM _2bicssc
072		7	_aUYS _2bicssc
072		7	_aTEC008000 _2bisacsh
072		7	_aCOM073000 _2bisacsh
082	0	4	_a621.382 _223
100	1		_aRichards, John A. _eauthor.
245	1	0	_aRemote Sensing Digital Image Analysis _h[electronic resource] : _bAn Introduction / _cby John A. Richards.
250			_a5th ed. 2013.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aXIX, 494 p. 223 illus., 20 illus. in color. _bonline 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 the non-specialist with a treatment of the quantitative analysis of satellite and aircraft derived remotely sensed data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same.  This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. 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 processing 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.  Each chapter covers a different aspect of the analysis of digital remotely sensed data, without an excessively detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.
650		0	_aEngineering.
650		0	_aRemote sensing.
650		0	_aComputer vision.
650		0	_aEnvironmental toxicology.
650	1	4	_aEngineering.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aGeotechnical Engineering & Applied Earth Sciences.
650	2	4	_aRemote Sensing/Photogrammetry.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aEcotoxicology.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642300615
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-30062-2
912			_aZDB-2-ENG
999			_c96957 _d96957