Machine Vision and Advanced Image Processing in Remote Sensing

20.05.1999

Englisch

9783540655718

Springer Berlin

Nein

335

1

Gebundene Ausgabe

Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)

3D, Augmented Reality, Change detection, Computer Vision, Hough transform, Image segmentation, LED, Stereo, filter, image analysis, image processing, machine vision, remote sensing, visualization

RGW - Geographische Informationssysteme (GIS) und Fernerkundung PHJL - Laserphysik UYQV - Maschinelles Sehen, Bildverstehen KCP - Wirtschaftspolitik, politische Ökonomie GTM - Regionalstudien / Internationale Studien RB - Geowissenschaften

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. Häme 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

235 mm

15.5 cm