Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification

Iteration Based Polarimetric SAR Image Classification

In this paper, an iteration method is proposed for supervised polarimetric synthetic aperture radar (SAR) image classification. In this iterative approach, the optimization of polarimetric contrast enhancement (OPCE) is employed for enlarging the distance between the mean values of two kinds of targets and the Fisher method is employed for reducing the variances of two distributions. Using the ...

Dual-Branch Deep Convolution Neural Network for Polarimetric SAR Image Classification

The deep convolution neural network (CNN), which has prominent advantages in feature learning, can learn and extract features from data automatically. Existing polarimetric synthetic aperture radar (PolSAR) image classification methods based on the CNN only consider the polarization information of the image, instead of incorporating the image’s spatial information. In this paper, a novel method...

Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach

In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which cont...

Unsupervised Classification of Fully Polarimetric SAR Image Based on Polarimetric Features and Spatial Features

Polarimetric SAR (PolSAR) has played more and more important roles in earth observation. Polarimetric SAR image classification is one of the key problems in the PolSAR image interpretation. In this paper, based on the scattering properties of fully polarimetric SAR data, combing the statistical characteristics and neighborhood information, an efficient unsupervised method of fully polarimetric ...

Stokes Vector Based Polarimetric SAR Land Classification