000			04613cam a2200505Ia 4500
001			on1288211836
003			OCoLC
005			20220711203738.0
006			m o d
007			cr un|---aucuu
008			211211s2022 enk o 000 0 eng d
040			_aEBLCP _beng _cEBLCP _dDG1 _dOCLCO
020			_a9781119882268 _q(electronic bk. : oBook)
020			_a1119882265 _q(electronic bk. : oBook)
020			_a9781119882244
020			_a1119882249
024	7		_a10.1002/9781119882268 _2doi
029	1		_aAU@ _b000070461791
035			_a(OCoLC)1288211836
050		4	_aQA280
082	0	4	_a519.5/5 _223
049			_aMAIN
245	0	0	_aChange detection and image time-series analysis. _n1, Unsupervised methods / _ccoordinate by Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone.
246	3	0	_aUnsupervised methods
260			_aLondon, UK : _bISTE, Ltd. ; _aHoboken, NJ : _bWiley, _c2022.
300			_a1 online resource (304 p.)
490	0		_aImage. Remote sensing imagery
500			_aDescription based upon print version of record.
505	0		_aCover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- List of Notations -- Chapter 1. Unsupervised Change Detection in Multitemporal Remote Sensing Images -- 1.1. Introduction -- 1.2. Unsupervised change detection in multispectral images -- 1.2.1. Related concepts -- 1.2.2. Open issues and challenges -- 1.2.3. Spectral-spatial unsupervised CD techniques -- 1.3. Unsupervised multiclass change detection approaches based on modeling spectral-spatial information -- 1.3.1. Sequential spectral change vector analysis (S2CVA)
505	8		_a1.3.2. Multiscale morphological compressed change vector analysis -- 1.3.3. Superpixel-level compressed change vector analysis -- 1.4. Dataset description and experimental setup -- 1.4.1. Dataset description -- 1.4.2. Experimental setup -- 1.5. Results and discussion -- 1.5.1. Results on the Xuzhou dataset -- 1.5.2. Results on the Indonesia tsunami dataset -- 1.6. Conclusion -- 1.7. Acknowledgements -- 1.8. References -- Chapter 2. Change Detection inTime Series of Polarimetric SAR Images -- 2.1. Introduction -- 2.1.1. The problem
505	8		_a2.1.2. Important concepts illustrated bymeans of the gamma distribution -- 2.2. Test theory and matrix ordering -- 2.2.1. Test for equality of two complex Wishart distributions -- 2.2.2. Test for equality of k-complex Wishart distributions -- 2.2.3. The block diagonal case -- 2.2.4. The Loewner order -- 2.3. The basic change detection algorithm -- 2.4. Applications -- 2.4.1. Visualizing changes -- 2.4.2. Fieldwise change detection -- 2.4.3. Directional changes using the Loewner ordering -- 2.4.4. Software availability -- 2.5. References
505	8		_aChapter 3. An Overview of Covariance-based Change Detection Methodologies in Multivariate SAR Image Time Series -- 3.1. Introduction -- 3.2. Dataset description -- 3.3. Statistical modeling of SAR images -- 3.3.1. The data -- 3.3.2. Gaussian model -- 3.3.3. Non-Gaussian modeling -- 3.4. Dissimilarity measures -- 3.4.1. Problem formulation -- 3.4.2. Hypothesis testing statistics -- 3.4.3. Information-theoretic measures -- 3.4.4. Riemannian geometry distances -- 3.4.5. Optimal transport -- 3.4.6. Summary -- 3.4.7. Results of change detectors on the UAVSAR dataset
505	8		_a3.5. Change detection based on structured covariances -- 3.5.1. Low-rank Gaussian change detector -- 3.5.2. Low-rank compound Gaussian change detector -- 3.5.3. Results of low-rank change detectors on the UAVSAR dataset -- 3.6. Conclusion -- 3.7. References -- Chapter 4. Unsupervised Functional Information Clustering in Extreme Environments from Filter Banks and Relative Entropy -- 4.1. Introduction -- 4.2. Parametric modeling of convnet features -- 4.3. Anomaly detection in image time series -- 4.4. Functional image time series clustering -- 4.5. Conclusion -- 4.6. References
500			_aChapter 5. Thresholds and Distances to Better Detect Wet Snow over Mountains with Sentinel-1 Image Time Series.
590			_bWiley Frontlist Obook All English 2021
650		0	_aTime-series analysis. _910504
655		4	_aElectronic books. _93294
700	1		_aAtto, Abdourrahmane M. _910505
700	1		_aBovolo, Francesca. _910506
700	1		_aBruzzone, Lorenzo. _910507
776	0	8	_iPrint version: _aAtto, Abdourrahmane M. _tChange Detection and Image Time-Series Analysis 1 _dNewark : John Wiley & Sons, Incorporated,c2022 _z9781789450569
856	4	0	_uhttps://doi.org/10.1002/9781119882268 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69732 _d69732