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Marine oil spills is a matter of great concern since it causes environmental disasters and threats the ecological system, thus the capability to detect precisely and analyze sufficiently is a significant guarantee to realize the management followed by oil spill. The Synthetic Aperture Radar (SAR) has recognized as a key remote sensing tool for oil spill monitoring and detecting. This paper uses modified...
Recent earth observation data gathered by satellite-borne synthetic aperture radar (SAR) systems grow vei7 rapidly. Previously we proposed the structurization of the gathered data into an easy-to-use form for extensive utilization of the data. There we employ convolutional neural networks to extract lands shape features to realize automatic metrization of local area patches based on teiTain features...
This paper analyzes the potential of dense time-series Sentinel-1 images for risks management in the drinking water resource. Totally 50 SAR images ranging from March 8, 2015 to August 18, 2017 were employed to monitor land cover/use changes around the Yuqiao reservoir in Tianjin Province, China. Firstly, 49 change maps were obtained by comparing the image acquired on March 8, 2015 with all other...
Gaofen-3(GF-3) satellite is the first Chinese civil C-band synthetic aperture radar (SAR) satellite launched by China Academy of Space Technology (CAST). The objective of this paper is to investigate the capability of GF-3 simulated compact polarimetric SAR data of π/4 and CTLR mode for water change detection. A multi-class water change detection method based on complex Wishart distribution for CP...
This paper investigates three target parameters, i.e., target orientation angle, target ellipticity angle, and target phase angle in L band AL O S PAL SAR full polarimetric data collected over Beijing, China. In experiments, the three target parameters are analyzed via histograms, distributed image, and the number of negative power pixels in Freeman decomposition with various compensations. Experimental...
Accurate building damage assessment is essential to providing decision support for disaster relief and reconstruction. This paper presents a method for building damage assessment using the statistical model texture parameter (SMTP) of compact polarimetric (CP) synthetic aperture radar (SAR). This paper uses the SMTP of CP data to describe the homogeneity of building, and using threshold to extract...
Space-borne differential InSAR (DInSAR) technique is an efficient tool for ground deformation monitoring due to its extensive coverage and millimeter level accuracy. With successful operation of Sentienel-1 and ALOS-2, there is increasing interest in exploiting the wide-swath mode of SAR for measuring surface topography and deformation over large area because of its wide coverage and rapid revisit...
Synthetic aperture radar (SAR) images are all-weather, all-time, and wide coverage, increasingly used for ship detection to ensure marine surveillance and transportation security. Currently, deep learning has achieved enormous success in object detection with the capability of representation learning. Combining single shot multiBox detector (SSD) with transfer learning is proposed to address ship...
Corn is one of the most essential economic crops globally and is an important part of China's agricultural industry. Corn growth monitoring is helpful for agricultural land reallocation and production evaluation. The compact polarimetric (CP) SAR could be a good tool for large area surveillance as it overcomes the width limitation of fully-polarimetric (FP) SAR, whereas still inherits abundant information...
In current Interferometric synthetic aperture radar (InSAR) applications, small baseline subsets (SBAS) technique is frequently applied by setting both temporal baseline and perpendicular baseline thresholds to select interferograms with less decorrelations. However, in real cases, some high quality interferograms may be discarded and some low quality interferograms may be included based on the former...
Automatic extraction of residential area from SAR image is a difficult task due to its complexity. The traditional methods based on segmentation or classification are effective. In this article, we present a novel method based on conditional generative adversarial networks (CGANs) to extract regular residential area in rural and urban region. CGANs is applied to extend the scope of research from supervised...
As high resolution as Radarsat2 SAR, it is possible to sense the sea surface as a number of capillary waves as well as foam. Thus an analytical model is considered to be reasonable for polarimetric SAR scattering matrix, based on the modelling of radar backscattering coefficient as the co-contribution of Bragg (polarized) and Scalar (unpolarized), which was proposed by Quilfen et al. [1] in 1999....
Synthetic Aperture Radar (SAR) image is disturbed by multiplicative noise known as speckle. In this paper, based on the power of deep fully convolutional network, an encoding-decoding framework is introduced for multisource SAR image despeckling. The network contains a series of convolution and deconvolution layers, forming an end-to-end non-linear mapping between noise and clean SAR images. With...
Based on the analysis of the polarization index of the Sentine-1 radar image before and after the lodging, the lodging classification model at the regional scale is established. The polarimetric index of Sentinel-1 radar image was extracted and analyzed according to the correlation analysis between the lodging index before and after the lodging. The degree of lodging was divided by the difference...
Polarimetric Synthetic Aperture Radar (PolSAR) is an advanced sensor which can achieve echoes from the ship in four different polarization channels. Given a proper weighting vector of each channel in a combination process, the contrast between ships and background can be enhanced which is a huge benefit. In this paper, a new ship detector is proposed based on an automatic way to evaluate the right...
A fast radar imaging method of detecting the buried object quickly and exactly is presented in this paper. At first, the complex backscatter data is computed by using the Kirchhoff approximation(KA) combing the boundary method(BIM). Then, a conventional synthetic aperture radar(SAR)imaging procedure called back projection method is used to generate 2-D image. The choice of window functions is researched...
Effective features extraction and high speed processing algorithms are key points for large scene SAR image processing, such as ship detection in the ocean. Feature based ship detection methods can use more information about targets and make results robust in different backgrounds. Although texture is an effective and strong feature in SAR images, its large computation time limits its practice in...
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