Machine Vision and Advanced Image Processing in Remote Sensing: Proceedings of Concerted Action Maviric (Machine Vision in Remotely Sensed Image Compr (Hardcover, 1999)

Foreward Introduction PART I: IMAGE PROCESSING AND COMPUTER VISION METHODS FOR REMOTE SENSING DATA G.G. Wilkinson, Recent Developments in Remote Sensing Technology and the Importance of Computer Vision Analysis Techniques; P. Forte, G. A. Jones, Posing Structural Matching in Remote Sensing as an Optimisation Problem; S. Dellepiane, Detail-Preserving Processing of Remote Sensing Images; A.A. Nielsen, Multi-Channel Remote Sensing Data and Orthogonal Transformations for Change Detection; B. Aiazzi et al., Aspects of Multi-Scale Analysis for Managing Spectral and Temporal Coverages of Space-Borne High-Resolution Images; J.M. Carstensen et al., Structural Inference Using Deformable Models; D.P. Argialas, Terrain Feautre Recognition Through Structural Pattern Recognition, Knowledge-Based Systems, and Geomorphometric Techniques; PART II. HIGH RESOLUTION DATA K. Arnason, J.A.Benediktsson, Environmental Mapping Based on High Resolution Remote Sensing Data; P. Boekaerts et al., Potential Role of Very High Resolution Optical Satellite Image Pre-Processing for Product Extraction; T. Hame et al., Forestry Applications of High Resolution Imagery; C. Kontoes, Image Analysis Techniques for Urban Land Use Classification. The Use of Kernel Based Approaches to Process Very High Resolution Satellite Imagery; PART III: VISUALISATION, 3D AND STEREO J. Mundy, R. Curwen, Automated Change Detection in Remotely Sensed Imagery; T. Moons et al., A 3-Dimensional Multi-View Based Strategy for Remotely Sensed Image Interpretation; R. Bolter, A. Pinz, 3D Exloitation of SAR Images; N. Stolte, Visualizing Remotely Sensed Depth Maps using Voxels; H. Nielsen et al., Three Dimensional Surface Registration of Stereo Images and Models from MR Images; W. Di Carlo, Exploring Multi-Dimensional Remote Sensing Data with a Virtual Reality System; PART IV: IMAGE INTERPRETATION AND CLASSIFICATION M. Datcu et al., Information Mining in Remote Sensing Image Archives; J.-P. Berroir, Fusionof Spatial and Temporal Information for Agricultural Land Use Identification - Preliminary Study for the Vegetation Sector; C. Mahlander, D. Rosenholm, Rule-based Identification of Revision Objects in Satellite Images; W. Schneider, Land Cover Mapping from Optical Satellite Images Employing Subpixel Segmentation and Radiometric Calibration; W. Mees, M. Acheroy, Semi-Automatic Analysis of High-Resolution Satellite Images; C.H.M. van Kemenade et al., Density-Based Unsupervised Classification for Remote Sensing; F. Tintrup et al., Classification of Compressed Multispectral Data; PART V: SEGMENTATION AND FEATURE EXTRACTION M. Pesatesi, I. Kanellopoulos, Detection of Urban Features Using Morphological Based Segmentation and Very High Resolution Remotely Sensed Data; I. Gracia, M. Petrou, Non-Linear Line Detection Filters; E. Costamagna et al., Fuzzy Clustering and Pyramidal Hough Transform for Urban Features Detection in High Resolution SAR Images; P. Radeva et al., Detecting Nets of Linear Structures in Satellite Images; A. Pujol et al., Satellite Image Segmentation Through Rotational Invariant Feature Eigenvector Projection; B. Gorte, Supervised Segmentation by Region Merging