Title
Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability.
Abstract
Object-based land cover mapping has drawn increasing attention for its ability to overcome the salt-and-pepper problem associated with pixel-based methods by considering spatial information from neighboring regions. However, the performance of object-based classification is strongly affected by over- or undersegmented objects. The optimal scale is difficult to determine; moreover, it usually varie...
Year
DOI
Venue
2017
10.1109/JSTARS.2016.2615073
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Image segmentation,Entropy,Uncertainty,Earth,Training,Remote sensing,Indexes
Spatial analysis,Computer vision,Data mining,Search engine,Remote sensing,Posterior probability,Image segmentation,Artificial intelligence,Pixel,Land cover,Mathematics
Journal
Volume
Issue
ISSN
10
3
1939-1404
Citations 
PageRank 
References 
1
0.36
7
Authors
4
Name
Order
Citations
PageRank
Dedi Yang110.36
Xuehong Chen2736.90
Jin Chen325931.87
Xin Cao4155.20