AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery
This letter presents the capabilities of a command line tool created to assess the quality of segmented digital images. The executable source code, called AssesSeg, was written in Python 2.7 using open source libraries. AssesSeg (University of Almeria, Almeria, Spain; Politecnico di Bari, Bari, Ital...
| Main Authors: | , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/7398 |
| _version_ | 1789406583651827712 |
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| author | Novelli, Antonio Aguilar Torres, Manuel Ángel Aguilar Torres, Fernando José Nemmaoui, Abderrahim Tarantino, Eufemia |
| author_facet | Novelli, Antonio Aguilar Torres, Manuel Ángel Aguilar Torres, Fernando José Nemmaoui, Abderrahim Tarantino, Eufemia |
| author_sort | Novelli, Antonio |
| collection | DSpace |
| description | This letter presents the capabilities of a command line tool created to assess the quality of segmented digital images. The executable source code, called AssesSeg, was written in Python 2.7 using open source libraries. AssesSeg (University of Almeria, Almeria, Spain; Politecnico di Bari, Bari, Italy) implements a modified version of the supervised discrepancy measure named Euclidean Distance 2 (ED2) and was tested on different satellite images (Sentinel-2, Landsat 8, and WorldView-2). The segmentation was applied to plastic covered greenhouse detection in the south of Spain (Almería). AssesSeg outputs were utilized to find the best band combinations for the performed segmentations of the images and showed a clear positive correlation between segmentation accuracy and the quantity of available reference data. This demonstrates the importance of a high number of reference data in supervised segmentation accuracy assessment problems. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-7398 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-73982023-10-10T11:07:37Z AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery Novelli, Antonio Aguilar Torres, Manuel Ángel Aguilar Torres, Fernando José Nemmaoui, Abderrahim Tarantino, Eufemia AssesSeg segmentation quality greenhouses Sentinel-2 Multi Spectral Instrument (MSI) Landsat 8 Operational Land Imager (OLI) WorldView-2 (WV2) This letter presents the capabilities of a command line tool created to assess the quality of segmented digital images. The executable source code, called AssesSeg, was written in Python 2.7 using open source libraries. AssesSeg (University of Almeria, Almeria, Spain; Politecnico di Bari, Bari, Italy) implements a modified version of the supervised discrepancy measure named Euclidean Distance 2 (ED2) and was tested on different satellite images (Sentinel-2, Landsat 8, and WorldView-2). The segmentation was applied to plastic covered greenhouse detection in the south of Spain (Almería). AssesSeg outputs were utilized to find the best band combinations for the performed segmentations of the images and showed a clear positive correlation between segmentation accuracy and the quantity of available reference data. This demonstrates the importance of a high number of reference data in supervised segmentation accuracy assessment problems. 2020-01-16T12:00:00Z 2020-01-16T12:00:00Z 2017-01-05 info:eu-repo/semantics/article 2072-4292 http://hdl.handle.net/10835/7398 en https://www.mdpi.com/2072-4292/9/1/40 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | AssesSeg segmentation quality greenhouses Sentinel-2 Multi Spectral Instrument (MSI) Landsat 8 Operational Land Imager (OLI) WorldView-2 (WV2) Novelli, Antonio Aguilar Torres, Manuel Ángel Aguilar Torres, Fernando José Nemmaoui, Abderrahim Tarantino, Eufemia AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| title | AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| title_full | AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| title_fullStr | AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| title_full_unstemmed | AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| title_short | AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| title_sort | assesseg—a command line tool to quantify image segmentation quality: a test carried out in southern spain from satellite imagery |
| topic | AssesSeg segmentation quality greenhouses Sentinel-2 Multi Spectral Instrument (MSI) Landsat 8 Operational Land Imager (OLI) WorldView-2 (WV2) |
| url | http://hdl.handle.net/10835/7398 |
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