政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/74472

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109952/140887 (78%)
Visitors : 46297062 Online Users : 1373

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 社會科學學院 > 地政學系 > 會議論文 > Item 140.119/74472

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74472

Title:	Using object-based classification to detect landslides sites using high resolution aerial images
Authors:	Kung, Fan-En;Jan, Jan J.-F.;Shao, Y.-C.;Li, M.-Y.;Yeh, K.-S.;Chen, L.-H. 孔繁恩
Contributors:	地政學系
Keywords:	Aerial images;Classification approach;Classification methods;High-resolution aerial images;Hybrid classification;Object-based classifications;Segmentation techniques;Spatial resolution;Image classification;Landslides;Pixels;Remote sensing;Image segmentation
Date:	2012
Issue Date:	2015-04-10 16:34:39 (UTC+8)
Abstract:	A variety of image classification methods have been applied in satellite images analysis, including supervised, unsupervised, and hybrid classifications. However, many researches indicated that traditional pixel-based classification approaches often resulted in less satisfactory outcome when applied to high resolution aerial image data. The main reason is that pixel-based approaches often raise over-classification problem as the spatial resolution of images increases. The objective of this study is to use object-based classification method to detect landslides sites in aerial images acquired by Z/I DMC and Leica ADS40. Firstly, multi resolution segmentation technique will be applied to segment image into regions that correspond to various areas of interest. Then each region will be classified into appropriate land cover types by using different kinds of indexes which are defined in this study, and the landslide sites will be identified. Finally, the result of landslides sites can show that the object-based classification is a good method for extracting the areas of landslides.
Relation:	33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Data Type:	conference
Appears in Collections:	[地政學系] 會議論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	1005	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...