Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003

By: Paul C Smits (Editor), Lorenzo Bruzzone (Editor)

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Hardcover | 10 August 2004

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Hardcover
404 Pages

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22.86 x 15.24 x 2.54

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The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened. This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms: Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.

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A comparative assessment of similarity measures for registration of multi-temporal remote sensing images	p. 3
Attempts at automatic video frame mosaicing and band to band registration of data generated by the variable interference filter imaging spectrometer (VIFIS)	p. 12
Extending time-series of satellite images by radiometric intercalibration	p. 21
Feature detection in multi-temporal SAR images	p. 30
Trajectory of dynamic clusters in images time-series	p. 39
What have quantitative change indicators and fractal dimension in common?	p. 50
A reduced rank regression mixture model for change validation in aerial images	p. 71
Spectral unmixing of sub-scale land cover from multitemporal NOAA-AVHRR imagery using a combined GIS- and fuzzy logic approach	p. 80
Change detection with ALI and Landsat satellite data	p. 89
An automated change detection system : making change detection applicable to a production environment	p. 98
Design considerations and elements for a system for monitoring change in Canada's forests	p. 107
Dynamic scaling in global precipitation for multi-temporal remote sensing observation	p. 113
Fusion of TIR and MD data for demining, preliminary results	p. 122
Opportunities and challenges in exploiting multi-temporal synthetic aperture radar data	p. 135
Multi-temporal interferometric point target analysis	p. 136
Change detection in repeat-pass multilook SAR imagery via coherence analysis	p. 145
Phase gradient approach to the evaluation and mapping of glacier rheology from multi-pass SAR interferograms	p. 154
Application of multiple baseline InSAR data for DEM generation	p. 166
An advanced system for automatic classification of multitemporal SAR images	p. 175
Joint distributions for multi-temporal series of radar images	p. 186
Unsupervised change detection in SAR images using a multicomponent HMC model	p. 195
Evaluation of a RADARSAT-I products for mapping burnt areas in Central Portugal	p. 204
Optimized indicators to monitor vegetation health and activity from remote sensing data	p. 215
Combining trend parameters from EOS data time series : an analysis of plant composition at landsacpe level	p. 216
Application of multitemporal landsat data to map and monitor land cover and land use change in the Chesapeake Bay watershed	p. 223
Monitoring land surface parameters during the transition snow melt and green-up periods using polar orbiting satellites	p. 233
Phyto-climatic classification of the vegetation cover in Eastern Sicily using historic series of multi-seasonal Landsat MSS images	p. 242
Detection of vegetation changes in an alpine protected area	p. 249
Nine years' monitoring of structural and functioal vegetation indices in natural and urban areas	p. 259
Monitoring drought stress in North-Eastern China by means of rainfall data and diachrone indices derived from Pathfinder AVHRR-imagery	p. 268
Retrospective change detection in a shallow coastal tidal lake : mapping seagrasses in Wallis Lake, Australia	p. 277
Science for society : global observations of earth's natural resources in the 21st century	p. 286
The MODIS 500 meter global vegetation continuous field products	p. 295
Table of Contents provided by Blackwell. All Rights Reserved.

Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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