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Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data

As far back as early 15th century during the reign of the Ming Dynasty (1368 to 1634 AD), Gomantong cave in Sabah (Malaysia) has been known as one of the largest roosting sites for wrinkle-lipped bats (Chaerephon plicata) and swiftlet birds (Aerodramus maximus and Aerodramus fuciphagus) in very larg...

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Main Authors: Idrees, Mohammed Oludare, Pradhan, Biswajeet, Buchroithner, Manfred F., Mohd Shafri, Helmi Zulhaidi, Bejo, Siti Khairunniza
Format: Article
Language:English
Published: Society of Photo-Optical Instrumentation Engineers 2016
Online Access:http://psasir.upm.edu.my/id/eprint/55134/1/Assessing%20the%20transferability%20of%20a%20hybrid%20Taguchi-objective%20function%20method%20to%20optimize%20.pdf
http://psasir.upm.edu.my/id/eprint/55134/
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spelling my.upm.eprints.551342020-05-15T02:21:11Z http://psasir.upm.edu.my/id/eprint/55134/ Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data Idrees, Mohammed Oludare Pradhan, Biswajeet Buchroithner, Manfred F. Mohd Shafri, Helmi Zulhaidi Bejo, Siti Khairunniza As far back as early 15th century during the reign of the Ming Dynasty (1368 to 1634 AD), Gomantong cave in Sabah (Malaysia) has been known as one of the largest roosting sites for wrinkle-lipped bats (Chaerephon plicata) and swiftlet birds (Aerodramus maximus and Aerodramus fuciphagus) in very large colonies. Until recently, no study has been done to quantify or estimate the colony sizes of these inhabitants in spite of the grave danger posed to this avifauna by human activities and potential habitat loss to postspeleogenetic processes. This paper evaluates the transferability of a hybrid optimization image analysis-based method developed to detect and count cave roosting birds. The method utilizes high-resolution terrestrial laser scanning intensity image. First, segmentation parameters were optimized by integrating objective function and the statistical Taguchi methods. Thereafter, the optimized parameters were used as input into the segmentation and classification processes using two images selected from Simud Hitam (lower cave) and Simud Putih (upper cave) of the Gomantong cave. The result shows that the method is capable of detecting birds (and bats) from the image for accurate population censusing. A total number of 9998 swiftlet birds were counted from the first image while 1132 comprising of both bats and birds were obtained from the second image. Furthermore, the transferability evaluation yielded overall accuracies of 0.93 and 0.94 (area under receiver operating characteristic curve) for the first and second image, respectively, with p value of <0.0001 at 95% confidence level. The findings indicate that the method is not only efficient for the detection and counting cave birds for which it was developed for but also useful for counting bats; thus, it can be adopted in any cave. Society of Photo-Optical Instrumentation Engineers 2016-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/55134/1/Assessing%20the%20transferability%20of%20a%20hybrid%20Taguchi-objective%20function%20method%20to%20optimize%20.pdf Idrees, Mohammed Oludare and Pradhan, Biswajeet and Buchroithner, Manfred F. and Mohd Shafri, Helmi Zulhaidi and Bejo, Siti Khairunniza (2016) Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data. Journal of Applied Remote Sensing, 10 (3). art. no. 035023. pp. 1-16. ISSN 1931-3195 10.1117/1.JRS.10.035023
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description As far back as early 15th century during the reign of the Ming Dynasty (1368 to 1634 AD), Gomantong cave in Sabah (Malaysia) has been known as one of the largest roosting sites for wrinkle-lipped bats (Chaerephon plicata) and swiftlet birds (Aerodramus maximus and Aerodramus fuciphagus) in very large colonies. Until recently, no study has been done to quantify or estimate the colony sizes of these inhabitants in spite of the grave danger posed to this avifauna by human activities and potential habitat loss to postspeleogenetic processes. This paper evaluates the transferability of a hybrid optimization image analysis-based method developed to detect and count cave roosting birds. The method utilizes high-resolution terrestrial laser scanning intensity image. First, segmentation parameters were optimized by integrating objective function and the statistical Taguchi methods. Thereafter, the optimized parameters were used as input into the segmentation and classification processes using two images selected from Simud Hitam (lower cave) and Simud Putih (upper cave) of the Gomantong cave. The result shows that the method is capable of detecting birds (and bats) from the image for accurate population censusing. A total number of 9998 swiftlet birds were counted from the first image while 1132 comprising of both bats and birds were obtained from the second image. Furthermore, the transferability evaluation yielded overall accuracies of 0.93 and 0.94 (area under receiver operating characteristic curve) for the first and second image, respectively, with p value of <0.0001 at 95% confidence level. The findings indicate that the method is not only efficient for the detection and counting cave birds for which it was developed for but also useful for counting bats; thus, it can be adopted in any cave.
format Article
author Idrees, Mohammed Oludare
Pradhan, Biswajeet
Buchroithner, Manfred F.
Mohd Shafri, Helmi Zulhaidi
Bejo, Siti Khairunniza
spellingShingle Idrees, Mohammed Oludare
Pradhan, Biswajeet
Buchroithner, Manfred F.
Mohd Shafri, Helmi Zulhaidi
Bejo, Siti Khairunniza
Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
author_facet Idrees, Mohammed Oludare
Pradhan, Biswajeet
Buchroithner, Manfred F.
Mohd Shafri, Helmi Zulhaidi
Bejo, Siti Khairunniza
author_sort Idrees, Mohammed Oludare
title Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
title_short Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
title_full Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
title_fullStr Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
title_full_unstemmed Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
title_sort assessing the transferability of a hybrid taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data
publisher Society of Photo-Optical Instrumentation Engineers
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/55134/1/Assessing%20the%20transferability%20of%20a%20hybrid%20Taguchi-objective%20function%20method%20to%20optimize%20.pdf
http://psasir.upm.edu.my/id/eprint/55134/
_version_ 1669008804035952640
score 13.211869

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