Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile
The amount of radar sounder data, which are used to analyze the subsurface of icy environments (e.g., Poles of Earth and Mars), is dramatically increasing from both airborne campaigns at the ice sheets and satellite missions on other planetary bodies. However, the main approach to the investigation...
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ftutrentoiris:oai:iris.unitn.it:11572/193496 2024-02-11T09:58:50+01:00 Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile Khodadadzadeh, Mahdi Ilisei, Ana-Maria Bruzzone, Lorenzo Bruzzone, Lorenzo Benediktsson, Jon Atli Khodadadzadeh, Mahdi Ilisei, Ana-Maria 2017 ELETTRONICO http://hdl.handle.net/11572/193496 https://doi.org/10.1117/12.2279442 https://spie.org/Publications/Proceedings/Paper/10.1117/12.2279442 eng eng SPIE country:USA place:Bellingham, WA, USA info:eu-repo/semantics/altIdentifier/isbn/9781510613188 info:eu-repo/semantics/altIdentifier/isbn/9781510613195 info:eu-repo/semantics/altIdentifier/wos/WOS:000425842500036 ispartofbook:Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII SPIE Remote Sensing volume:10427 issue:104271A firstpage:1 lastpage:10 numberofpages:10 alleditors:Benediktsson, Jon Atli http://hdl.handle.net/11572/193496 doi:10.1117/12.2279442 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85041061958 https://spie.org/Publications/Proceedings/Paper/10.1117/12.2279442 info:eu-repo/semantics/closedAccess Target detection ice subsurface radar sounder remote sensing info:eu-repo/semantics/conferenceObject 2017 ftutrentoiris https://doi.org/10.1117/12.2279442 2024-01-23T23:08:57Z The amount of radar sounder data, which are used to analyze the subsurface of icy environments (e.g., Poles of Earth and Mars), is dramatically increasing from both airborne campaigns at the ice sheets and satellite missions on other planetary bodies. However, the main approach to the investigation of such data is by visual interpretation, which is subjective and time consuming. Moreover, the few available automatic techniques have been developed for analyzing highly reflective subsurface targets, e.g., ice layers, basal interface. Besides the high reflective targets, glaciologists have also shown great interest in the analysis of non-reflective targets, such as the echo-free zone in ice sheets, and the reflective free zone in the subsurface of the South Pole of Mars. However, in the literature, there is no dedicated automatic technique for the analysis of non-reflective targets. To address this limitation, we propose an automatic classification technique for the identification of non-reflective targets in radar sounder data. The method is made up of two steps, i.e., i) feature extraction, which is the core of the method, and ii) automatic classification of subsurface targets. We initially prove that the commonly employed features for the analysis of the radar signal (e.g., statistical and texture based features) are ineffective for the identification of non-reflective targets. Thus, for feature extraction, we propose to exploit structural information based on the morphological closing profile. We show the effectiveness of such features in discriminating of non-reflective target from the other ice subsurface targets. In the second step, a random forest classifier is used to perform the automatic classification. Our experimental results, conducted using two data sets from Central Antarctica and South Pole of Mars, point out the effectiveness of the proposed technique for the accurate identification of non-reflective targets. Conference Object Antarc* Antarctica South pole South pole Università degli Studi di Trento: CINECA IRIS South Pole Image and Signal Processing for Remote Sensing XXIII 51 |
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Open Polar |
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Università degli Studi di Trento: CINECA IRIS |
op_collection_id |
ftutrentoiris |
language |
English |
topic |
Target detection ice subsurface radar sounder remote sensing |
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Target detection ice subsurface radar sounder remote sensing Khodadadzadeh, Mahdi Ilisei, Ana-Maria Bruzzone, Lorenzo Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
topic_facet |
Target detection ice subsurface radar sounder remote sensing |
description |
The amount of radar sounder data, which are used to analyze the subsurface of icy environments (e.g., Poles of Earth and Mars), is dramatically increasing from both airborne campaigns at the ice sheets and satellite missions on other planetary bodies. However, the main approach to the investigation of such data is by visual interpretation, which is subjective and time consuming. Moreover, the few available automatic techniques have been developed for analyzing highly reflective subsurface targets, e.g., ice layers, basal interface. Besides the high reflective targets, glaciologists have also shown great interest in the analysis of non-reflective targets, such as the echo-free zone in ice sheets, and the reflective free zone in the subsurface of the South Pole of Mars. However, in the literature, there is no dedicated automatic technique for the analysis of non-reflective targets. To address this limitation, we propose an automatic classification technique for the identification of non-reflective targets in radar sounder data. The method is made up of two steps, i.e., i) feature extraction, which is the core of the method, and ii) automatic classification of subsurface targets. We initially prove that the commonly employed features for the analysis of the radar signal (e.g., statistical and texture based features) are ineffective for the identification of non-reflective targets. Thus, for feature extraction, we propose to exploit structural information based on the morphological closing profile. We show the effectiveness of such features in discriminating of non-reflective target from the other ice subsurface targets. In the second step, a random forest classifier is used to perform the automatic classification. Our experimental results, conducted using two data sets from Central Antarctica and South Pole of Mars, point out the effectiveness of the proposed technique for the accurate identification of non-reflective targets. |
author2 |
Bruzzone, Lorenzo Benediktsson, Jon Atli Khodadadzadeh, Mahdi Ilisei, Ana-Maria |
format |
Conference Object |
author |
Khodadadzadeh, Mahdi Ilisei, Ana-Maria Bruzzone, Lorenzo |
author_facet |
Khodadadzadeh, Mahdi Ilisei, Ana-Maria Bruzzone, Lorenzo |
author_sort |
Khodadadzadeh, Mahdi |
title |
Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
title_short |
Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
title_full |
Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
title_fullStr |
Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
title_full_unstemmed |
Automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
title_sort |
automatic identification of non-reflective subsurface targets in radar sounder data based on morphological profile |
publisher |
SPIE |
publishDate |
2017 |
url |
http://hdl.handle.net/11572/193496 https://doi.org/10.1117/12.2279442 https://spie.org/Publications/Proceedings/Paper/10.1117/12.2279442 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
Antarc* Antarctica South pole South pole |
genre_facet |
Antarc* Antarctica South pole South pole |
op_relation |
info:eu-repo/semantics/altIdentifier/isbn/9781510613188 info:eu-repo/semantics/altIdentifier/isbn/9781510613195 info:eu-repo/semantics/altIdentifier/wos/WOS:000425842500036 ispartofbook:Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII SPIE Remote Sensing volume:10427 issue:104271A firstpage:1 lastpage:10 numberofpages:10 alleditors:Benediktsson, Jon Atli http://hdl.handle.net/11572/193496 doi:10.1117/12.2279442 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85041061958 https://spie.org/Publications/Proceedings/Paper/10.1117/12.2279442 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1117/12.2279442 |
container_title |
Image and Signal Processing for Remote Sensing XXIII |
container_start_page |
51 |
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1790594616636997632 |