RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION
The application of remote monitoring of surface water has focused primarily on the detection of water bodies using expensive multi-spectral IR sensors. However, critical information about surface water bodies, particularly the dynamic behavior, is better derived from water contours. We show that wat...
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Format: | Article |
Language: | English |
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Copernicus Publications
2022-05-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/827/2022/isprs-archives-XLIII-B3-2022-827-2022.pdf |
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author | A. Alsamman M. Syed |
author_facet | A. Alsamman M. Syed |
author_sort | A. Alsamman |
collection | DOAJ |
description | The application of remote monitoring of surface water has focused primarily on the detection of water bodies using expensive multi-spectral IR sensors. However, critical information about surface water bodies, particularly the dynamic behavior, is better derived from water contours. We show that water body detection is inadequate in accurately capturing the contours. Furthermore, we argue that RGB-based detection should be sufficient for accurate water detection. We present a new global dataset of remote sensing images obtained from Sentinel-2 and Landsat-8 missions and contour labeled to assist in this effort. We propose a unique UNet-style contour detection system that utilizes multiscale filters to detect contours accurately. Comparisons between our proposed system, existing water detection, and other segmentation and contour detection systems show the system's effectiveness in detecting water. |
first_indexed | 2024-04-12T10:57:19Z |
format | Article |
id | doaj.art-e860278ba12046abbbd50b4ab77a540f |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-04-12T10:57:19Z |
publishDate | 2022-05-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-e860278ba12046abbbd50b4ab77a540f2022-12-22T03:36:03ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-05-01XLIII-B3-202282783210.5194/isprs-archives-XLIII-B3-2022-827-2022RGB-BASED DEEP SURFACE WATER CONTOUR DETECTIONA. Alsamman0M. Syed1Department of Electrical and Computer Engineering, University of New Orleans, USADepartment of Electrical and Computer Engineering, University of New Orleans, USAThe application of remote monitoring of surface water has focused primarily on the detection of water bodies using expensive multi-spectral IR sensors. However, critical information about surface water bodies, particularly the dynamic behavior, is better derived from water contours. We show that water body detection is inadequate in accurately capturing the contours. Furthermore, we argue that RGB-based detection should be sufficient for accurate water detection. We present a new global dataset of remote sensing images obtained from Sentinel-2 and Landsat-8 missions and contour labeled to assist in this effort. We propose a unique UNet-style contour detection system that utilizes multiscale filters to detect contours accurately. Comparisons between our proposed system, existing water detection, and other segmentation and contour detection systems show the system's effectiveness in detecting water.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/827/2022/isprs-archives-XLIII-B3-2022-827-2022.pdf |
spellingShingle | A. Alsamman M. Syed RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION |
title_full | RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION |
title_fullStr | RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION |
title_full_unstemmed | RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION |
title_short | RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION |
title_sort | rgb based deep surface water contour detection |
url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/827/2022/isprs-archives-XLIII-B3-2022-827-2022.pdf |
work_keys_str_mv | AT aalsamman rgbbaseddeepsurfacewatercontourdetection AT msyed rgbbaseddeepsurfacewatercontourdetection |