scholarly journals Review of the Comprehensive SAR Approach to Identify Scattering Mechanisms of Radar Backscatter from Vegetated Terrain

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1098 ◽  
Author(s):  
Motofumi Arii ◽  
Hiroyoshi Yamada ◽  
Shoichiro Kojima ◽  
Masato Ohki
Keyword(s):  
Remote Sensing ◽  
Numerical Model ◽  
Model Simulation ◽  
Synthetic Aperture ◽  
Decomposition Techniques ◽  
Scattering Mechanism ◽  
Radar Backscatter ◽  
Polarimetric Synthetic Aperture Radar ◽  
Scattering Mechanisms ◽  
Sar Data

In a field of polarimetric synthetic aperture radar (SAR) remote sensing, various kinds of polarimetric decomposition techniques have been proposed. However, poor validations prevent them from operational applications. A true composition ratio of scattering mechanisms within a radar backscatter plays a key role. To overcome the issue, a novel comprehensive SAR approach to accurately identify a contribution of each scattering mechanism has been introduced. This is based on multiparametric SAR observation combined with a numerical model simulation. In this article, a comprehensive SAR approach is concisely reviewed to accelerate the research in this field. First, popular model-based polarimetric decompositions are introduced and their limitations are shown. Then, a behavior of scattering mechanisms is analyzed by the discrete scatterer model with some results using real multiparametric SAR data. A comprehensive SAR approach must be essential to realize an operational use of polarimetric SAR data.

scholarly journals Ocean Applications

2020 ◽  
pp. 255-277
Author(s):  
M. Migliaccio ◽  
F. Nunziata ◽  
A. Marino ◽  
C. Brekke ◽  
S. Skrunes
Keyword(s):  
Synthetic Aperture Radar ◽  
False Alarm ◽  
Single Channel ◽  
False Alarm Probability ◽  
Sea Surface ◽  
Synthetic Aperture ◽  
Scattering Mechanism ◽  
Polarimetric Synthetic Aperture Radar ◽  
Sar Data ◽  
Weak Damping

AbstractIn this chapter, the most promising techniques to observe oil slicks and to detect metallic targets at sea using polarimetric synthetic aperture radar (SAR) data are reviewed and critically analysed. The detection of oil slicks in SAR data is made difficult not only by the presence of speckle but also by the presence of, e.g. biogenic films, low-wind areas, rain cells, currents, etc., which increase the false alarm probability. The use of polarimetric features has been shown to both observe oil slicks and distinguish them from weak-damping look-alikes but also to extract some of their properties. Similarly to oil slicks, the same factors can hamper the detection of metallic targets at sea. The radiometric information provided by traditional single-channel SAR is not generally sufficient to unambiguously detect man-made metallic targets over the sea surface. This shortcoming is overcome by employing polarimetry, which allows to fully characterize the scattering mechanism of such targets.

scholarly journals Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification

2019 ◽  
Vol 11 (5) ◽  
pp. 516 ◽  
Author(s):  
◽  
◽  
◽  
◽  
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Newfoundland And Labrador ◽  
Earth Observation ◽  
Synthetic Aperture ◽  
Conservation Strategies ◽  
Wetland Classification ◽  
Wetland Mapping ◽  
Discrimination Capability ◽  
Sar Data

Detailed information on spatial distribution of wetland classes is crucial for monitoring this important productive ecosystem using advanced remote sensing tools and data. Although the potential of full- and dual-polarimetric (FP and DP) Synthetic Aperture Radar (SAR) data for wetland classification has been well examined, the capability of compact polarimetric (CP) SAR data has not yet been thoroughly investigated. This is of great significance, since the upcoming RADARSAT Constellation Mission (RCM), which will soon be the main source of SAR observations in Canada, will have CP mode as one of its main SAR configurations. This also highlights the necessity to fully exploit such important Earth Observation (EO) data by examining the similarities and dissimilarities between FP and CP SAR data for wetland mapping. Accordingly, this study examines and compares the discrimination capability of extracted features from FP and simulated CP SAR data between pairs of wetland classes. In particular, 13 FP and 22 simulated CP SAR features are extracted from RADARSAT-2 data to determine their discrimination capabilities both qualitatively and quantitatively in three wetland sites, located in Newfoundland and Labrador, Canada. Seven of 13 FP and 15 of 22 CP SAR features are found to be the most discriminant, as they indicate an excellent separability for at least one pair of wetland classes. The overall accuracies of 87.89%, 80.67%, and 84.07% are achieved using the CP SAR data for the three wetland sites (Avalon, Deer Lake, and Gros Morne, respectively) in this study. Although these accuracies are lower than those of FP SAR data, they confirm the potential of CP SAR data for wetland mapping as accuracies exceed 80% in all three sites. The CP SAR data collected by RCM will significantly contribute to the efforts ongoing of conservation strategies for wetlands and monitoring changes, especially on large scales, as they have both wider swath coverage and improved temporal resolution compared to those of RADARSAT-2.

scholarly journals HETEROGENEITY MEASUREMENT BASED ON DISTANCE MEASURE FOR POLARIMETRIC SAR DATA

2018 ◽  
Vol IV-3 ◽  
pp. 233-237
Author(s):  
Xiaoli Xing ◽  
Qihao Chen ◽  
Xiuguo Liu
Keyword(s):  
Standard Deviation ◽  
Synthetic Aperture Radar ◽  
Covariance Matrix ◽  
Distance Measure ◽  
Synthetic Aperture ◽  
Polarimetric Sar ◽  
Polarimetric Synthetic Aperture Radar ◽  
Local Window ◽  
The Mean ◽  
Sar Data

To effectively test the scene heterogeneity for polarimetric synthetic aperture radar (PolSAR) data, in this paper, the distance measure is introduced by utilizing the similarity between the sample and pixels. Moreover, given the influence of the distribution and modeling texture, the K distance measure is deduced according to the Wishart distance measure. Specifically, the average of the pixels in the local window replaces the class center coherency or covariance matrix. The Wishart and K distance measure are calculated between the average matrix and the pixels. Then, the ratio of the standard deviation to the mean is established for the Wishart and K distance measure, and the two features are defined and applied to reflect the complexity of the scene. The proposed heterogeneity measure is proceeded by integrating the two features using the Pauli basis. The experiments conducted on the single–look and multilook PolSAR data demonstrate the effectiveness of the proposed method for the detection of the scene heterogeneity.

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