The detection of ships on the open sea is an important issue for both military and civilian fields. As active microwave imaging sensor, synthetic aperture radar (SAR) a useful device in marine supervision. To extract small weak precisely areas, polarimetric (PolSAR) data have been used more widely. We propose new PolSAR ship method which based keypoint detector, referred to as PolSAR-SIFT patch...

In this paper, the Freeman–Durden polarimetric decomposition concept is adapted to polarimetric SAR interferometry (PolInSAR) data. The covariance matrix obtained from PolInSAR observations is decomposed into the three scattering mechanisms matrices proposed by Freeman and Durden for polarimetric SAR (PolSAR) data. The objective is to describe each interferometric cross correlation as the sum o...

High Resolution (HR) Synthetic Aperture Radar (SAR) Single Look Complex (SLC) observations, mainly of strong scattering scenes or objects show phase patterns. Phase patterns may occur due to the system behavior or they may be signatures of the imaged objects. Since state of the art stochastic models of SAR SLC data describe mainly the pixel information. Now studies are needed to elaborate bette...

Deep learning methods have been widely studied in the field of polarimetric synthetic aperture radar (PolSAR) ship detection over past few years. However, backscattering manmade targets, including ships, is sensitive to relative geometry between target orientation and line sight, which makes diversity spatial features ships. The scattering leads a increase scarcity PolSAR-labeled samples, are d...

Polarimetric synthetic aperture radar (PolSAR) image classification has achieved great progress, but there still exist some obstacles. On the one hand, a large amount of PolSAR data is captured. Nevertheless, most them are not labeled with land cover categories, which cannot be fully utilized. other annotating images relies more on domain knowledge and manpower, makes pixel-level annotation har...

Classification of terrain is one of the most important applications of Polarimetric Synthetic Aperture Radar (POLSAR) image analysis. This paper presents a simple method to classify terrain by the use of the correlation coefficients in the circular polarization basis together with the total power of the scattering matrix in the X-band. The reflection symmetry condition that the co-polarized and...

Abstract. Polarimetric calibration is one of the preprocessing steps in quantitative processing synthetic aperture radar (PolSAR) data, and its accuracy will affect subsequent applications. At present, polarimetric method based on distributed targets widely used, this kind needs to extract that satisfy certain scattering characteristics as reference ground object samples before calibrating. The...

In 1978, the SEASAT satellite was launched, carrying first civilian synthetic aperture radar (SAR). The mission monitoring of ocean: application to land also studied. Despite its short operational time 105 days, SEASAT-SAR provided a wealth information on and sea, initiated many spaceborne SAR programs using not only image intensity data, but new technologies interferometric (InSAR) polarimetri...

Compared with the rapid development of single-frequency polarimetric SAR (PolSAR) image classification technology, there is less research on land cover multi-frequency PolSAR (MF-PolSAR) images. And deep learning methods among them are mainly based convolutional neural networks (CNNs), only local spatiality considered but nonlocal relationship ignored. Therefore, this paper proposes MF semantic...