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Full Description
Volume II of the Six Volume Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use/land cover, croplands, urban studies, processing hyperspectral remote sensing data, thermal imagery, light detection and ranging (LiDAR), geoprocessing workflows, frontiers of GIScience, and future pathways. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.
Features
Provides the most up-to-date comprehensive coverage of digital image processing.
Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing.
Demonstrates practical examples of image processing for a myriad of applications such as land use/land cover, croplands, and urban.
Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral.
Highlights change detection, geoprocessing, and GIScience.
This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Contents
Part I: Image Processing Methods and Approaches. 1. Digital Image Processing: A Review of the Fundamental Methods and Techniques. 2. Image Classification Methods in Land Cover and Land Use and Cropland Studies. 3. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods. 4. Hyperspectral Image Processing: Methods and Approaches. 5. Collaborative Representation for Hyperspectral Image Classification and Detection. 6. Thermal Infrared Remote Sensing: Principles and Theoretical Background. 7. Remote Sensing Image Segmentation: Methods, Approaches, and Advances. 8. Object Based Image Analysis: Evolution, History, State-of-the-Art and Future Vision. 9. Geospatial Data Integration in OBIA- implications of Accuracy and Validity. 10. Image Segmentation Algorithms for Land Categorization. 11. LiDAR Data Processing and Applications. Part II: Change Detection. 12. Forest Clear-Cutting Detection in Subtropical Regions with Time Series Remotely Sensed Data. Part III: Integrating Geographic Information Systems (GIS) and Remote Sensing in Spatial Modeling Framework for Decision Support. 13. Geoprocessing, Workflows, and Provenance. 14. Toward Democratization of Geographic Information: GIS, Remote Sensing, and GNSS Applications in Everyday Life. 15. Frontiers of GIScience: Evolution, State-of-Art, and Future Pathways. 16. Object-Based Regionalization for Policy-Oriented Partitioning of Space. Part IV: Summary and Synthesis of Volume II. 17. Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS and Spatial Data Analysis.
