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EB

EB

ONLINE

Cham, Switzerland : Springer, 2016

1 online zdroj

ISBN 9783319470375 (ebook) ISBN !9783319470351 (chyb.)

ISBN 331947037X (ebook)

ISBN 3319470353

ISBN 9783319470351

Remote sensing and digital image processing ; volume 20

Printed edition: ISBN 9783319470351

Obsahuje bibliografické odkazy.

Preface; Contents; Contributors; 1 Multitemporal Remote Sensing: Current Status, Trends and Challenges; 1.1 Introduction; 1.2 Multitemporal Earth Observation Satellites; 1.3 Multitemporal Remote Sensing: Trend, Challenges and Opportunities; 1.4 Synopsis of the Book; References; 2 Change Detection Techniques: A Review; 2.1 Introduction; 2.2 Change Detection Preprocessing; 2.2.1 Geometric and Radiometric Correction; 2.2.2 SAR Speckle Filtering for Change Detection; 2.3 Deriving Change Variables from Multitemporal Remote-Sensing Images.

2.3.1 Driving Change Variables from Multitemporal Optical Images2.3.2 Driving Change Variables from Multitemporal SAR Images; 2.4 Pixel-Based Change Detection; 2.4.1 Unsupervised Change Detection Algorithms; 2.4.2 Supervised Change Detection Algorithms; 2.4.3 Context-Based Change Detection Algorithms; 2.5 Object-Based Change-Detection Algorithms; 2.5.1 Segmentation Strategies for Change Detection; 2.5.2 Objects Comparison and Change Map Generation; 2.6 Data Fusion for Change Detection; 2.7 Concluding Remarks; References; 3 Change Detection in Urban Areas: Spatial and Temporal Scales.

3.1 Introduction3.2 Urban Changes at Different Spatial and Temporal Scales; 3.2.1 Hotspot Change Detection; 3.2.2 Detailed Urban Change Information from Long Temporal EO Series; 3.3 Sudden Change Detection in SAR Images Using "ad hoc" Indexes; 3.4 "Hypertemporal" Sequences; 3.5 Conclusions; References; 4 Change Detection in Multitemporal Hyperspectral Images; 4.1 Introduction; 4.2 Change Detection in Hyperspectral Images; 4.2.1 Overview of CD Techniques; 4.2.2 Challenges for CD in HS Images; 4.3 Analysis of the Change Concept in Multitemporal HS Images.

4.4 Hierarchical Technique for the Detection of Multiple Changes in Hyperspectral Images4.4.1 Pseudo-Binary Change Detection; 4.4.2 Hierarchical Spectral Change Vector Analysis (HSCVA); 4.4.3 Generation of the Change-Detection Map; 4.5 Experimental Results and Discussion; 4.5.1 Simulated Hyperspectral Data Set; 4.5.2 Hyperion Satellite Images of an Irrigated Agricultural Area; 4.6 Conclusion; References; 5 Object-Based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms; 5.1 Introduction; 5.2 Methodology; 5.2.1 Preprocessing.

5.2.2 Segmentation5.2.3 Change Image Generation; 5.2.4 Thresholding; 5.2.4.1 Kittler-Illingworth Algorithm; 5.2.4.2 Otsu’s Method; 5.2.4.3 Outlier Detection Technique; 5.3 Datasets Description; 5.4 Results and Discussion; 5.5 Conclusion; References; 6 Fusion of Multitemporal Spaceborne SAR and Optical Data for Urban Mapping and Urbanization Monitoring; 6.1 Introduction; 6.2 Study Areas and Data Description; 6.2.1 Study Areas; 6.2.2 Data Description; 6.3 Methodology; 6.3.1 Image Preprocessing; 6.3.2 Urban Land Cover Classification with KTH-SEG; 6.3.3 Urban Extent Extraction.

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001464082

(OCoLC)964698772

(EBLB)EBL4751405

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(IDEB)cis37101595

(YANK)13284714