SAR imagery feature extraction using 2DPCA-based two-dimensional neighborhood virtual points discriminant embedding
J Pei, Y Huang, W Huo, J Wu, J Yang… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) is an important microwave sensor that is capable of high-
resolution imaging. Extracting valuable features from the SAR target imagery is one of …
resolution imaging. Extracting valuable features from the SAR target imagery is one of …
SAR Target feature extraction and recognition based on 2D-DLPP
P Han, J Wu, R Wu - Physics Procedia, 2012 - Elsevier
In this paper, a new feature extraction algorithm named 2D-DLPP (Two-dimensional
Discriminant Locality Preserving Projections) is used for SAR ATR (Synthetic Aperture …
Discriminant Locality Preserving Projections) is used for SAR ATR (Synthetic Aperture …
Sample discriminant analysis for SAR ATR
X Liu, Y Huang, J Pei, J Yang - IEEE Geoscience and Remote …, 2014 - ieeexplore.ieee.org
Feature extraction is a key step in synthetic-aperture-radar automatic target recognition. In
this letter, we propose a novel feature extraction method named sample discriminant …
this letter, we propose a novel feature extraction method named sample discriminant …
SAR image classification by exploiting adaptive contextual information and composite kernels
For synthetic aperture radar (SAR) image land cover classification, traditional feature-based
methods are not always effective because of the heavy multiplicative noise. To solve this …
methods are not always effective because of the heavy multiplicative noise. To solve this …
Ratio-detector-based feature extraction for very high resolution SAR image patch indexing
S Cui, CO Dumitru, M Datcu - IEEE Geoscience and Remote …, 2013 - ieeexplore.ieee.org
With the advent of very high resolution (VHR) synthetic aperture radar (SAR) images, local
content description is becoming a critical issue for indexing. Conventional SAR image …
content description is becoming a critical issue for indexing. Conventional SAR image …
Semisupervised discriminant feature learning for SAR image category via sparse ensemble
Terrain scene classification plays an important role in various synthetic aperture radar (SAR)
image understanding and interpretation. This paper presents a novel approach to …
image understanding and interpretation. This paper presents a novel approach to …
SAR target feature extraction and recognition based on two-stage 2DPCA
L Hu, H Liu, S Wu - 电子与信息学报, 2008 - jeit.ac.cn
Feature extraction based on PCA for 2 dimensional images has the disadvantages of
evaluating the covariance matrix accurately with great difficulty and high computational …
evaluating the covariance matrix accurately with great difficulty and high computational …
Neighborhood geometric center scaling embedding for SAR ATR
Y Huang, J Peia, J Yanga, B Wang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Feature extraction from high-dimensional synthetic aperture radar images is one of the key
steps for SAR automatic target recognition. In this paper, we propose a new approach to …
steps for SAR automatic target recognition. In this paper, we propose a new approach to …
SAR target configuration recognition using tensor global and local discriminant embedding
This letter proposes a method that can preserve the global and local discriminative
information based on the tensor representation to achieve feature extraction for synthetic …
information based on the tensor representation to achieve feature extraction for synthetic …
Covariance of textural features: A new feature descriptor for SAR image classification
Synthetic aperture radar (SAR) image land-cover classification is an important research
topic in SAR image interpretation. However, speckle, inherent of active coherent imaging …
topic in SAR image interpretation. However, speckle, inherent of active coherent imaging …