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020			_a9789811364242
024	7		_a10.1007/978-981-13-6424-2 _2doi
040			_bspa _dES-MaUEC
050		4	_aTL798.S3 _b2019 EB
100	1		_aBorra, Surekha. _eautor
245	1	0	_aSatellite Image Analysis : _bClustering and Classification _cby Surekha Borra, Rohit Thanki, Nilanjan Dey
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019
300			_a1 recurso en línea (XVI, 97 páginas) _b53 ilustraciones, 22 ilustraciones a color
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3704
505	0		_aPreface -- Introduction -- Image Pre-processing Techniques -- Satellite Image Clustering -- Satellite Image Classification -- Applied Examples -- Conclusion.
520	3		_aThanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists' demands for more efficient and higher-quality classification in real time. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.
650		7	_aSatélites artificiales en teledetección _2embne _9428156
650		7	_aTelecomunicaciones _2embne _9138448
650		7	_aVisión por ordenador _2embne _9159793
700	1		_aDey, Nilanjan, _d1984- _eautor _998032
700	1		_aThanki, Rohit. _eautor
776	0	8	_iPrinted edition: _z9789811364235
776	0	8	_iPrinted edition: _z9789811364259
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6424-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _a_alco _a_vill _b08/2019 _cm _dz _ea _feng _ggw _h0