A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images

A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images

This paper proposes an object-based segmentation/classification scheme for remotely sensed images, based on a novel variant of the recently proposed Genetic Sequential Image Segmentation (GeneSIS) algorithm. GeneSIS segments the image in an iterative manner, whereby at each iteration a single object...

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Bibliographic Details
Main Authors: Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Remote Sensing
Subjects:
image segmentation
object-based classification
watershed transform
genetic algorithms
marker selection
segmentation fusion
Online Access:http://www.mdpi.com/2072-4292/7/3/2474

Internet

http://www.mdpi.com/2072-4292/7/3/2474

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