Dumitru, Corneliu Octavian and Schwarz, Gottfried and Datcu, Mihai (2016) Land Cover Semantic Annotation Derived from High Resolution SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (6), pp. 2215-2232. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2016.2549557. ISSN 1939-1404.
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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7464254
Abstract
Users of remote sensing images analyzing land cover characteristics are very much interested in classification schemes that define a consistent set of target categories. Up to now, a number of established classification schemes are mainly being used by interpreters of medium-resolution optical satellite image focusing on large-scale land cover. In contrast, we concentrate in this publication on the definition of a new classification scheme for high-resolution synthetic aperture radar (SAR) images that are mostly taken over built-up areas. Here, we can see many small details of buildings, industrial facilities, and infrastructure that have to be classified. However, the appearance of details in high-resolution SAR images is often difficult to understand for human observers, and, therefore, calls for an automated semantic annotation of the target objects that has to follow a number of specific scientific guidelines. We demonstrate that a selection of representative SAR images with subsequent feature extraction and relevance feedback classification during the generation of a classification scheme leads to a reliable definition of a new high-resolution multi-level SAR image classification scheme that can be applied globally for semantic annotation in an automated chain.
Item URL in elib: | https://elib.dlr.de/105932/ | ||||||||||||||||
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Document Type: | Article | ||||||||||||||||
Title: | Land Cover Semantic Annotation Derived from High Resolution SAR Images | ||||||||||||||||
Authors: |
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Date: | 2016 | ||||||||||||||||
Journal or Publication Title: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||
Volume: | 9 | ||||||||||||||||
DOI: | 10.1109/JSTARS.2016.2549557 | ||||||||||||||||
Page Range: | pp. 2215-2232 | ||||||||||||||||
Editors: |
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Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
ISSN: | 1939-1404 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | Annotation, land cover, SAR, semantics | ||||||||||||||||
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis | ||||||||||||||||
Deposited By: | INVALID USER | ||||||||||||||||
Deposited On: | 07 Sep 2016 12:21 | ||||||||||||||||
Last Modified: | 27 Nov 2023 12:49 |
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