A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images

Author:

Keyport Ren N.,Oommen Thomas,Martha Tapas R.,Sajinkumar K.S.,Gierke John S.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference29 articles.

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2. Object-based classification of earthquake damage from high-resolution optical imagery using machine learning;Bialas;J. Appl. Remote Sens.,2016

3. Object-based image analysis and digital terrain analysis for locating landslides in the Urmia Lake Basin, Iran;Blaschke;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2014

4. Segmentation Optimization for Aerial Images with Spatial Constraints;Boesch;The Int. Archives Photogramm. Remote Sens. Spat. Inf. Sci.,2008

5. An object-oriented analysis for characterizing the rainfall-induced shallow landslide;Chang;J. Mar. Sci. Technol.,2012

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