Roof segmentation using true-orthoimage and DSM with Obia paradigm

Theo Prastomo Soedarmodjo, Jiann-Yeou Rau

Research output: Contribution to conferencePaper

Abstract

Currently analyzing high-spatial resolution image data to classify the object is one of the most important research topic. Conventional stereo-plotting method that use manual object delineation will take a long time in the process. Therefore, a more effective approach is needed to overcome it. OBIA (Object Based Image Analysis) is the solution offered to facilitate the identification of objects by considering to the shape, size, area, and information contained in the objects. In this study, we use true-orthoimage and DSM (Digital Surface Model), generated by UAV (Unmanned Aerial Vehicle) images, with 5 cm spatial resolution as the base data to get the segmentation results from the roof of the building. In which, DSM is used to obtain height information for each object. Moreover, DSM data is used to get the slope of the roof to separate different roof planes of the same building. Then, we apply segmentation process on the roof of the building based on the aspect of the roof. Segmentation of the object is done by multi-resolution segmentation technique by considering the parameters of scale, shape and compactness to get maximum accurate result in each building. This approach is applied to identify the roof of the building at the seashore villages of Tainan City, Taiwan with an area of 200 x 200 square-meters. Finally, the result of segmentation is compared with the manually delineation result for accuracy assessment.

Original languageEnglish
Pages596-601
Number of pages6
Publication statusPublished - 2018 Jan 1
Event39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
Duration: 2018 Oct 152018 Oct 19

Conference

Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
CountryMalaysia
CityKuala Lumpur
Period18-10-1518-10-19

Fingerprint

Roofs
segmentation
roof
spatial resolution
accuracy assessment
Image resolution
Unmanned aerial vehicles (UAV)
image analysis
Image analysis
Coastal zones
village

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Earth and Planetary Sciences(all)
  • Computer Networks and Communications

Cite this

Soedarmodjo, T. P., & Rau, J-Y. (2018). Roof segmentation using true-orthoimage and DSM with Obia paradigm. 596-601. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.
Soedarmodjo, Theo Prastomo ; Rau, Jiann-Yeou. / Roof segmentation using true-orthoimage and DSM with Obia paradigm. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.6 p.
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Soedarmodjo, TP & Rau, J-Y 2018, 'Roof segmentation using true-orthoimage and DSM with Obia paradigm' Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia, 18-10-15 - 18-10-19, pp. 596-601.

Roof segmentation using true-orthoimage and DSM with Obia paradigm. / Soedarmodjo, Theo Prastomo; Rau, Jiann-Yeou.

2018. 596-601 Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.

Research output: Contribution to conferencePaper

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Soedarmodjo TP, Rau J-Y. Roof segmentation using true-orthoimage and DSM with Obia paradigm. 2018. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.