Multispectral Satellite Image Understanding by Kim Boyer
This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. Topics and features: with a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center; provides end-of-chapter summaries and review questions; presents a detailed review on remote sensing satellites; examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices; investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images; addresses the problem of detecting residential regions; describes a house and street network-detection subsystem; concludes with a summary of the key ideas covered in the book.-
NETLAB
-
Multimodal Collaborative Perception for Unmanned Systems
-
Advances in Photometric 3D-Reconstruction
-
Active Lighting and Its Application for Computer Vision
-
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
-
Selfie Biometrics
-
Handbook of Vascular Biometrics
-
Natural User Interfaces in Medical Image Analysis
-
Advanced Algorithmic Approaches to Medical Image Segmentation
-
Markov Models for Pattern Recognition
-
Statistical Learning and Pattern Analysis for Image and Video Processing
-
An Introduction to Object Recognition
-
Human Recognition at a Distance in Video
-
Nonlinear Eigenproblems in Image Processing and Computer Vision
-
Autonomous Intelligent Vehicles
-
Similarity-Based Pattern Analysis and Recognition
-
Hyperspectral Image Analysis
-
Guide to OCR for Indic Scripts
-
Automatic Digital Document Processing and Management
-
Guide to Three Dimensional Structure and Motion Factorization
-
Machine Learning for Vision-Based Motion Analysis
-
Handbook of Remote Biometrics
-
Fusion in Computer Vision
-
Compression Schemes for Mining Large Datasets
-
Shape Perception in Human and Computer Vision
-
Imaging Spectroscopy for Scene Analysis
-
Visual Question Answering
-
Tensors in Image Processing and Computer Vision
-
Handbook of Biometric Anti-Spoofing
-
Computer Vision Beyond the Visible Spectrum
-
Image Registration
-
Statistical and Neural Classifiers
-
Contactless 3D Fingerprint Identification
-
Hierarchical Perceptual Grouping for Object Recognition
-
Adaptive Biometric Systems
From the reviews:
“The authors write that their aims were the proposal of a novel automated end-to-end system to analyze multispectral satellite images and to emphasize how many research problems in remote sensing applications are waiting to be solved by the computer vision communityWell, the book satisfies both these goals. … it represents a good reference book, even a milestone, for teaching multispectral image understanding to students and/or young researchers.” (Primo Zingaretti, IAPR Newsletter, Vol. 34 (3), July-August, 2012)| SKU | Unavailable |
| ISBN 13 | 9781447126560 |
| ISBN 10 | 1447126564 |
| Title | Multispectral Satellite Image Understanding |
| Author | Kim Boyer |
| Series | Advances In Computer Vision And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2013-07-15 |
| Number of pages | 186 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |