AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA
Shadow can be casted by daylight or any other light sources. We will not get a clear and quality image if it's hovered by the shadow. Shadows are frequently formed in high-resolution satellite imagery by the limitations of the imaging environment and the presence of high rise structures, and th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-10-01
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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/XLVIII-4-W5-2022/143/2022/isprs-archives-XLVIII-4-W5-2022-143-2022.pdf |
| _version_ | 1811238322833457152 |
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| author | D. Prabhakar P. K. Garg |
| author_facet | D. Prabhakar P. K. Garg |
| author_sort | D. Prabhakar |
| collection | DOAJ |
| description | Shadow can be casted by daylight or any other light sources. We will not get a clear and quality image if it's hovered by the shadow. Shadows are frequently formed in high-resolution satellite imagery by the limitations of the imaging environment and the presence of high rise structures, and this scenario is true especially in metropolitan regions. Shadow is one of the noteworthy evils in remotely sensed imagery which hinders the precision of information extraction and change identification. To attenuate the effects of shadow in high resolution imagery regarding their supplemental functions, our paper suggests a novel algorithm for shadow masking built on computational methods. Firstly we transformed the images from RGB space to CIELCh space model, next we evaluated a modified Specthem ratio, and then used multilevel thresholding. We also created shadow masks for areas having vegetation, water, and soil. Shadow mask noise was decreased by morphological techniques. The ratio of lighting for the shadowed and unshadowed areas is utilized to create shadow masks, which are then used to remove shadows from the source photos. The thresholding approach creates an initial shadow mask during the shadow detection step, and the morphological filtering method is used to remove the noise and incorrect shadow regions. We also vectorized the raster data which can be further applied for various other studies. |
| first_indexed | 2024-04-12T12:39:46Z |
| format | Article |
| id | doaj.art-b978714a0f454b748a610806a941e08c |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T12:39:46Z |
| publishDate | 2022-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-b978714a0f454b748a610806a941e08c2022-12-22T03:32:49ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-10-01XLVIII-4-W5-202214315010.5194/isprs-archives-XLVIII-4-W5-2022-143-2022AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATAD. Prabhakar0P. K. Garg1Department of Civil Engineering, Indian Institute of Technology, Roorkee, IndiaDepartment of Civil Engineering, Indian Institute of Technology, Roorkee, IndiaShadow can be casted by daylight or any other light sources. We will not get a clear and quality image if it's hovered by the shadow. Shadows are frequently formed in high-resolution satellite imagery by the limitations of the imaging environment and the presence of high rise structures, and this scenario is true especially in metropolitan regions. Shadow is one of the noteworthy evils in remotely sensed imagery which hinders the precision of information extraction and change identification. To attenuate the effects of shadow in high resolution imagery regarding their supplemental functions, our paper suggests a novel algorithm for shadow masking built on computational methods. Firstly we transformed the images from RGB space to CIELCh space model, next we evaluated a modified Specthem ratio, and then used multilevel thresholding. We also created shadow masks for areas having vegetation, water, and soil. Shadow mask noise was decreased by morphological techniques. The ratio of lighting for the shadowed and unshadowed areas is utilized to create shadow masks, which are then used to remove shadows from the source photos. The thresholding approach creates an initial shadow mask during the shadow detection step, and the morphological filtering method is used to remove the noise and incorrect shadow regions. We also vectorized the raster data which can be further applied for various other studies.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W5-2022/143/2022/isprs-archives-XLVIII-4-W5-2022-143-2022.pdf |
| spellingShingle | D. Prabhakar P. K. Garg AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA |
| title_full | AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA |
| title_fullStr | AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA |
| title_full_unstemmed | AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA |
| title_short | AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA |
| title_sort | automatic shadow detection for high resolution remote sensing data |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W5-2022/143/2022/isprs-archives-XLVIII-4-W5-2022-143-2022.pdf |
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