Analysis Of Multi Temporal Remote Sensing Images

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Analysis of Multi-Temporal Remote Sensing Images

Author : Paul Smits,Lorenzo Bruzzone
Publisher : World Scientific
Page : 404 pages
File Size : 48,9 Mb
Release : 2004-08-10
Category : Technology & Engineering
ISBN : 9789814482349

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Analysis of Multi-Temporal Remote Sensing Images by Paul Smits,Lorenzo Bruzzone Pdf

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. Contents:Image Analysis and Algorithms:Extending Time-Series of Satellite Images by Radiometric Intercalibration (A Röder et al.)Trajectory of Dynamic Clusters in Image Time Series (P Heas et al.)Change Detection with ALI and Landsat Satellite Data (H Chen et al.)Analysis of Synthetic Aperture Radar Data:Multi-Temporal Interferometric Point Target Analysis (U Wegmüller et al.)Application of Multiple Baseline InSAR Data for DEM Generation (S Takeuchi)Joint Distributions for Multi-Temporal Series of Radar Images (B Storvik et al.)Monitoring and Management of Resources:Detection of Vegetation Changes in an Alpine Protected Area (M Maggi et al.)Monitoring Drought Stress in North-Eastern China by Means of Rainfall Data and Diachrone Indices Derived from Pathfinder AVHRR-Imagery (P Ozer et al.)Science for Society: Global Observations of Earth's Natural Resources in the 21st Century (R L King)and other papers Readership: Graduate students and researchers in computer science and environmental science. Keywords:Remote Sensing;Change Detection;Multi-Temporal Image Analysis;Pattern Recognition;Time Series Analysis;Environmental Monitoring;Environmental Management;Natural Resources;Earth Observation

Proceedings of the Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images

Author : Lorenzo Bruzzone,Paul Smits
Publisher : World Scientific
Page : 403 pages
File Size : 53,7 Mb
Release : 2004
Category : Computers
ISBN : 9789812702630

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Proceedings of the Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images by Lorenzo Bruzzone,Paul Smits Pdf

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.

Proceedings of the First International Workshop on the Analysis of Multi-temporal Remote Sensing Images

Author : Lorenzo Bruzzone
Publisher : World Scientific
Page : 455 pages
File Size : 47,7 Mb
Release : 2002
Category : Technology & Engineering
ISBN : 9789810249557

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Proceedings of the First International Workshop on the Analysis of Multi-temporal Remote Sensing Images by Lorenzo Bruzzone Pdf

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 importance 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 environmental monitoring, remote sensing image analysis and pattern recognition will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities.

Multitemporal Remote Sensing

Author : Yifang Ban
Publisher : Springer
Page : 448 pages
File Size : 45,9 Mb
Release : 2016-12-01
Category : Technology & Engineering
ISBN : 9783319470375

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Multitemporal Remote Sensing by Yifang Ban Pdf

Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.

2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi Temp)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 49,8 Mb
Release : 2015-07-22
Category : Electronic
ISBN : 1467371203

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2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi Temp) by IEEE Staff Pdf

Promote discussion of scientific, methodological and application issues related to multitemporal data analysis Push novel solutions for technical problems related to multitemporal data, promote their use in an increasing number of applications

2013 7th International Workshop on the Analysis of Multi Temporal Remote Sensing Images (Multi Temp)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 44,7 Mb
Release : 2013-06-25
Category : Electronic
ISBN : 1479924148

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2013 7th International Workshop on the Analysis of Multi Temporal Remote Sensing Images (Multi Temp) by IEEE Staff Pdf

Acquisition, processing, validation and requirements of time series of images Applications of image time series and change detection at multiple scales, prominently featuring environmental monitoring, water, urban, radar and innovating systems Integration of time series of images with other data

Multi-Sensor and Multi-Temporal Remote Sensing

Author : Anil Kumar,Priyadarshi Upadhyay,Uttara Singh
Publisher : CRC Press
Page : 178 pages
File Size : 51,5 Mb
Release : 2023-04-17
Category : Computers
ISBN : 9781000872194

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Multi-Sensor and Multi-Temporal Remote Sensing by Anil Kumar,Priyadarshi Upadhyay,Uttara Singh Pdf

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields. Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

Analysis of Multi-Temporal Remote Sensing Images

Author : Lorenzo Bruzzone,Paul Smits
Publisher : World Scientific
Page : 456 pages
File Size : 45,5 Mb
Release : 2002-07-12
Category : Technology & Engineering
ISBN : 9789814488334

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Analysis of Multi-Temporal Remote Sensing Images by Lorenzo Bruzzone,Paul Smits Pdf

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. Contents:Image Analysis and Algorithms:Digital Change Detection Methods in Natural Ecosystem Monitoring: A Review (P Coppin et al.)Adaptive Reduction of Registration-Noise Effects in Unsupervised Change Detection (L Bruzzone & R Cossu)Image Thresholding for Landslide Detection by Genetic Programming (P L Rosin & J Hervás)Shape Change Detection by Fuzzy Measures (P C Smits & S G Dellepiane)The Use of SOM-Encoded Texture Spectrum for Change Detection (J C W Chan & K-P Chan)A Temporal 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 & J-M Grégoire)MODIS 250m and 500m Time Series Data for Change Detection and Continuous Representation of Vegetation Characteristics (J R G Townshend et al.)Suspended Matter in the North Sea: A Multi-Temporal Analysis based on SEAWIFS Imagery in 2000 (R Pasterkamp et al.)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.)Multi-temporal Analysis Using NOAA-pathfinder AVHRR Land Imagery for the Study of the Land Cover Dynamic in the Mediterranean Basin (J A Sobrino et al.)and other papers Readership: Researchers and academics in computer science, computer engineering, electrical and electronic engineering, and environmental science. Keywords:

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Author : IEEE Staff,MultiTemp
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2017
Category : Electronic
ISBN : 1538633272

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2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). by IEEE Staff,MultiTemp Pdf

MultiTemp is a series of workshop (established in 2001) that provides a forum of discussion of scientific, methodological, and application issues related to multitemporal data analysis The workshop aims to push novel solutions for technical problems related to the analysis of image time series and promotes the use of the multitemporal data in an ever increasing number of strategic and challenging applications, strengthening the connection between the scientfiic community, the industry and the end users.