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Semantic Analysis of Satellite Image Time Series

Dumitru, Corneliu Octavian and Datcu, Mihai (2021) Semantic Analysis of Satellite Image Time Series. In: Change Detection and Image Time Series Analysis Change Detection and Image Time Series Analysis 2: Supervised Methods. Wiley Encyclopedia of Sciences. pp. 85-107. doi: 10.1002/9781119882299.ch3.

Full text not available from this repository.

Official URL: https://onlinelibrary.wiley.com/doi/10.1002/9781119882299.ch3

Abstract

During the last years, huge quantities of satellite images are available due to the increased number of Earth observation (EO) sensors. Thanks to this, the acquisition frequency is increasing. Furthermore, the high spatial resolution of the sensors gives access to detailed image structures in order to study the dynamics of the Earth surface. This is one of the emergent issues in the field of remote sensing imagery processing. The opportunities to compose high-resolution satellite image time series are growing, and the observation of precise spatio-temporal structures in dynamic scenes is getting increasingly more accessible.

Item URL in elib:https://elib.dlr.de/142802/
Document Type:Book Section
Title:Semantic Analysis of Satellite Image Time Series
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dumitru, Corneliu OctavianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:December 2021
Journal or Publication Title:Change Detection and Image Time Series Analysis
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1002/9781119882299.ch3
Page Range:pp. 85-107
Publisher:Wiley Encyclopedia of Sciences
Series Name:Change Detection and Image Time Series Analysis 2: Supervised Methods
Status:Published
Keywords:Semantic, SITS, SAR, multispectral, features, active learning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:23 Jun 2021 14:28
Last Modified:09 Dec 2021 18:08

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