Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels

Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels

Speed and accuracy are important factors when dealing with time-constraint events for disaster, risk, and crisis-management support. Object-based image analysis can be a time consuming task in extracting information from large images because most of the segmentation algorithms use the pixel-grid for...

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Bibliographic Details
Main Author: Ovidiu Csillik
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Remote Sensing
Subjects:
oversegmentation
runtime
OBIA
computer vision
pixels
superpixels
random forest
Online Access:http://www.mdpi.com/2072-4292/9/3/243

Internet

http://www.mdpi.com/2072-4292/9/3/243

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