Analysis of Multi-temporal Remote Sensing Images: Proceedings of the First International Conference on Multitemp 2001, University of Trento, Italy, 13
By: Paul Smits (editor), Lorenzo Bruzzone (editor)Hardback
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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 next few years. The relevance and timeliness of this issue 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.This book brings together the methodological aspects of multi-temporal remote sensing image analysis, real applications and end-user requirements, presenting the state of the art in this field and contributing to the definition of common research priorities. Researchers and graduate students in the fields of remote sensing, image analysis, and environmental monitoring will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities.
Image analysis and algorithms: image thresholding for landslide detection by genetic programming, P.L. Rosin and J. Hervas; shape change detection by fuzzy measures, P.C. Smits and S.G. Dellepiane; an application-oriented change-detection technique, D. Fernandez Prieto; the use of SOM-encoded texture spectrum for change detection, J.C.W. Chan and K.-P. Chan; a temporal extension to traditional empirical orthogonal function analysis, A.A. Nielsen et al; a bivariate extension to traditional empirical orthogonal function analysis, A.A. Nielsen et al. Monitoring and management of natural resources: using temporal change of the land cover spectral signal to improve burnt area mapping, D. Stroppiana and J.-M. Gregoire; multitemporal phenological classification of Argentina, M.L. Carranza et al; multitemporal evaluation of MIVIS data for waste disposal and landslide applications, C.M. Marino et al; multitemporal thermography for monitoring volcanic areas, A.M. Tonelli; the use of multi-temporal SAR images for detecting main hydrological parameters, M. Bianchini et al. Land-cover dynamics: multi-temporal remote sensing analytical approaches for characterizing landscape change, R.S. Lunetta; an application of Kalman filtering for monitoring forest growth aided by satellite image time series, S. Joyce; Fourier decomposition of an AVHRR NDVI time series for seasonal and interannual land cover change detection, M.E. Jakubauskas et al; classification and land use evolution in the South Milan agricultural park, S. Bocchi et al; using remote sensing to update geographic information system, P. Sbardella and R. Barichello. (Part contents)
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