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MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD
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Zeitschriftentitel: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Personen und Körperschaften: | , |
In: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-3, 2018, S. 2353-2357 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Copernicus GmbH
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Schlagwörter: |
author_facet |
Zhao, H. H. Guan, H. Y. Zhao, H. H. Guan, H. Y. |
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author |
Zhao, H. H. Guan, H. Y. |
spellingShingle |
Zhao, H. H. Guan, H. Y. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD General Earth and Planetary Sciences General Environmental Science |
author_sort |
zhao, h. h. |
spelling |
Zhao, H. H. Guan, H. Y. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-3-2353-2018 <jats:p>Abstract. Green space along road of QuickBird image was studied in this paper based on multi-feature-marks in frequency domain. The magnitude spectrum of green along road was analysed, and the recognition marks of the tonal feature, contour feature and the road were built up by the distribution of frequency channels. Gabor filters in frequency domain were used to detect the features based on the recognition marks built up. The detected features were combined as the multi-feature-marks, and watershed based image segmentation were conducted to complete the extraction of green space along roads. The segmentation results were evaluated by Fmeasure with P = 0.7605,R = 0.7639,F = 0.7622. </jats:p> MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
doi_str_mv |
10.5194/isprs-archives-xlii-3-2353-2018 |
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Online Free |
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ElectronicArticle |
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Copernicus GmbH, 2018 |
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Copernicus GmbH, 2018 |
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2194-9034 |
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English |
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2018 |
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Copernicus GmbH |
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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title |
MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_unstemmed |
MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_full |
MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_fullStr |
MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_full_unstemmed |
MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_short |
MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_sort |
multi-feature-marks based information extraction of urban green space along road |
topic |
General Earth and Planetary Sciences General Environmental Science |
url |
http://dx.doi.org/10.5194/isprs-archives-xlii-3-2353-2018 |
publishDate |
2018 |
physical |
2353-2357 |
description |
<jats:p>Abstract. Green space along road of QuickBird image was studied in this paper based on multi-feature-marks in frequency domain. The magnitude spectrum of green along road was analysed, and the recognition marks of the tonal feature, contour feature and the road were built up by the distribution of frequency channels. Gabor filters in frequency domain were used to detect the features based on the recognition marks built up. The detected features were combined as the multi-feature-marks, and watershed based image segmentation were conducted to complete the extraction of green space along roads. The segmentation results were evaluated by Fmeasure with P = 0.7605,R = 0.7639,F = 0.7622.
</jats:p> |
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author | Zhao, H. H., Guan, H. Y. |
author_facet | Zhao, H. H., Guan, H. Y., Zhao, H. H., Guan, H. Y. |
author_sort | zhao, h. h. |
container_start_page | 2353 |
container_title | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume | XLII-3 |
description | <jats:p>Abstract. Green space along road of QuickBird image was studied in this paper based on multi-feature-marks in frequency domain. The magnitude spectrum of green along road was analysed, and the recognition marks of the tonal feature, contour feature and the road were built up by the distribution of frequency channels. Gabor filters in frequency domain were used to detect the features based on the recognition marks built up. The detected features were combined as the multi-feature-marks, and watershed based image segmentation were conducted to complete the extraction of green space along roads. The segmentation results were evaluated by Fmeasure with P = 0.7605,R = 0.7639,F = 0.7622. </jats:p> |
doi_str_mv | 10.5194/isprs-archives-xlii-3-2353-2018 |
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publishDate | 2018 |
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series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
source_id | 49 |
spelling | Zhao, H. H. Guan, H. Y. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-3-2353-2018 <jats:p>Abstract. Green space along road of QuickBird image was studied in this paper based on multi-feature-marks in frequency domain. The magnitude spectrum of green along road was analysed, and the recognition marks of the tonal feature, contour feature and the road were built up by the distribution of frequency channels. Gabor filters in frequency domain were used to detect the features based on the recognition marks built up. The detected features were combined as the multi-feature-marks, and watershed based image segmentation were conducted to complete the extraction of green space along roads. The segmentation results were evaluated by Fmeasure with P = 0.7605,R = 0.7639,F = 0.7622. </jats:p> MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spellingShingle | Zhao, H. H., Guan, H. Y., The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD, General Earth and Planetary Sciences, General Environmental Science |
title | MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_full | MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_fullStr | MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_full_unstemmed | MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_short | MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
title_sort | multi-feature-marks based information extraction of urban green space along road |
title_unstemmed | MULTI-FEATURE-MARKS BASED INFORMATION EXTRACTION OF URBAN GREEN SPACE ALONG ROAD |
topic | General Earth and Planetary Sciences, General Environmental Science |
url | http://dx.doi.org/10.5194/isprs-archives-xlii-3-2353-2018 |