Copula based classifier fusion under statistical dependence

O Ozdemir, TG Allen, S Choi… - … on Pattern Analysis …, 2017 - ieeexplore.ieee.org
We consider the problem of fusing probability scores from a set of classifiers to estimate a
final fused probability score. Our interest is in scenarios where the classifiers are statistically …

Mixture WG -MRF Model for PolSAR Image Classification

W Song, M Li, P Zhang, Y Wu, X Tan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The WGΓ model has been validated as an effective model for the characteristic of
polarimetric synthetic aperture radar (PolSAR) data statistics. However, due to the …

Copula-based joint statistical model for polarimetric features and its application in PolSAR image classification

H Dong, X Xu, H Sui, F Xu, J Liu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Polarimetric features are essential to polarimetric synthetic aperture radar (PolSAR) image
classification for their better physical understanding of terrain targets. The designed …

Target-oriented high-resolution SAR image formation via semantic information guided regularizations

B Hou, Z Wen, L Jiao, Q Wu - IEEE Transactions on Geoscience …, 2017 - ieeexplore.ieee.org
Sparsity-regularized synthetic aperture radar (SAR) imaging framework has shown its
remarkable performance to generate a feature-enhanced high-resolution image, in which a …

An improved technique of plant leaf classificaion using hybrid feature modeling

A Rao, SB Kulkarni - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Various applications have been developed during recent years which are based on the
computer vision system. In this field, plant species recognition is a challenging task for …