High-dynamic-range imaging for cloud segmentation
Sky–cloud images obtained from ground-based sky cameras are usually captured using a fisheye lens with a wide field of view. However, the sky exhibits a large dynamic range in terms of luminance, more than a conventional camera can capture. It is thus difficult to capture the details of an entire...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-04-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://www.atmos-meas-tech.net/11/2041/2018/amt-11-2041-2018.pdf |
| _version_ | 1819268373872115712 |
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| author | S. Dev S. Dev F. M. Savoy Y. H. Lee S. Winkler |
| author_facet | S. Dev S. Dev F. M. Savoy Y. H. Lee S. Winkler |
| author_sort | S. Dev |
| collection | DOAJ |
| description | Sky–cloud images obtained from ground-based sky cameras are usually captured
using a fisheye lens with a wide field of view. However, the sky exhibits a
large dynamic range in terms of luminance, more than a conventional camera
can capture. It is thus difficult to capture the details of an entire scene
with a regular camera in a single shot. In most cases, the circumsolar region
is overexposed, and the regions near the horizon are underexposed. This
renders cloud segmentation for such images difficult. In this paper, we
propose HDRCloudSeg – an effective method for cloud segmentation using
high-dynamic-range (HDR) imaging based on multi-exposure fusion. We describe
the HDR image generation process and release a new database to the community
for benchmarking. Our proposed approach is the first using HDR radiance maps
for cloud segmentation and achieves very good results. |
| first_indexed | 2024-12-23T21:32:02Z |
| format | Article |
| id | doaj.art-c0117aba250448ffa66746610413ff02 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-12-23T21:32:02Z |
| publishDate | 2018-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-c0117aba250448ffa66746610413ff022022-12-21T17:30:26ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-04-01112041204910.5194/amt-11-2041-2018High-dynamic-range imaging for cloud segmentationS. Dev0S. Dev1F. M. Savoy2Y. H. Lee3S. Winkler4School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), 639798 Singapore ADAPT SFI Research Centre, Trinity College Dublin, IrelandAdvanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, 138602 Singapore School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), 639798 Singapore Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, 138602 Singapore Sky–cloud images obtained from ground-based sky cameras are usually captured using a fisheye lens with a wide field of view. However, the sky exhibits a large dynamic range in terms of luminance, more than a conventional camera can capture. It is thus difficult to capture the details of an entire scene with a regular camera in a single shot. In most cases, the circumsolar region is overexposed, and the regions near the horizon are underexposed. This renders cloud segmentation for such images difficult. In this paper, we propose HDRCloudSeg – an effective method for cloud segmentation using high-dynamic-range (HDR) imaging based on multi-exposure fusion. We describe the HDR image generation process and release a new database to the community for benchmarking. Our proposed approach is the first using HDR radiance maps for cloud segmentation and achieves very good results.https://www.atmos-meas-tech.net/11/2041/2018/amt-11-2041-2018.pdf |
| spellingShingle | S. Dev S. Dev F. M. Savoy Y. H. Lee S. Winkler High-dynamic-range imaging for cloud segmentation Atmospheric Measurement Techniques |
| title | High-dynamic-range imaging for cloud segmentation |
| title_full | High-dynamic-range imaging for cloud segmentation |
| title_fullStr | High-dynamic-range imaging for cloud segmentation |
| title_full_unstemmed | High-dynamic-range imaging for cloud segmentation |
| title_short | High-dynamic-range imaging for cloud segmentation |
| title_sort | high dynamic range imaging for cloud segmentation |
| url | https://www.atmos-meas-tech.net/11/2041/2018/amt-11-2041-2018.pdf |
| work_keys_str_mv | AT sdev highdynamicrangeimagingforcloudsegmentation AT sdev highdynamicrangeimagingforcloudsegmentation AT fmsavoy highdynamicrangeimagingforcloudsegmentation AT yhlee highdynamicrangeimagingforcloudsegmentation AT swinkler highdynamicrangeimagingforcloudsegmentation |