PubAg

Main content area

You searched for: Journal International journal of remote sensing Remove constraint Journal: International journal of remote sensing Publication Year 2019 Remove constraint Publication Year: 2019 Source 2019 v.40 no.9 Remove constraint Source: 2019 v.40 no.9 Subject remote sensing Remove constraint Subject: remote sensing Subject synthetic aperture radar Remove constraint Subject: synthetic aperture radar
Start Over

Search

4  Search Results

1 - 4 of 4
Number of results to display per page

Search Results

1. On the analysis of a time series of X–band TerraSAR–X SAR imagery over oil seepages

Author:
Nunziata, F.; de Macedo, C. R.; Buono, A.; Velotto, D.; Migliaccio, M.
Source:
International journal of remote sensing 2019 v.40 no.9 pp. 3623-3646
ISSN:
1366-5901
Subject:
angle of incidence; energy; environmental factors; image analysis; models; oils; remote sensing; synthetic aperture radar; time series analysis; wind speed; Gulf of Mexico
Abstract:
... A large time series of 42 dual–polarimetric co–polarized TerraSAR-X (TSX) StripMap Synthetic Aperture Radar (SAR) measurements are exploited to monitor a well-known oil seep area, i.e., the Taylor Energy site in the Gulf of Mexico. A comprehensive scattering analysis is undertaken to assess the impact of SAR imaging parameters (polarization, angle of incidence – AOI, noise floor) and environmental ...
DOI:
10.1080/01431161.2018.1547933

2. Registrating large mismatching SAR images based on corners and surface extremum strategy

Author:
Yao, Guobiao; Zhang, Li; Shi, Tongguang; Deng, Kazhong
Source:
International journal of remote sensing 2019 v.40 no.9 pp. 3555-3570
ISSN:
1366-5901
Subject:
algorithms; geometry; remote sensing; synthetic aperture radar
Abstract:
... Robust and accurate registration remains a difficult task for large mismatching Synthetic Aperture Radar (SAR) images because of severe viewpoint distortion, repetitive patterns, and speckle noise. In this paper, we propose a coarse-to-fine registration method with high precision by integrating corners and Surface Extremum Strategy (SES). Our method involves three steps. First, initial correspondi ...
DOI:
10.1080/01431161.2018.1547930

3. Shorebase-Shipborne bistatic ISAR robustness analysis

Author:
Liu, Zitao; Jiang, Yicheng
Source:
International journal of remote sensing 2019 v.40 no.9 pp. 3518-3542
ISSN:
1366-5901
Subject:
equipment performance; image analysis; remote sensing; simulation models; synthetic aperture radar; theoretical models
Abstract:
... In this article, the robustness of Shorebase-Shipborne bistatic Inverse Synthetic Aperture Radar (ISAR) is tested when phase synchronization errors and nonstationary three-dimensional rotational motions occur. Mathematically, the point spread function is derived and distortions are analysed. It is shown that, the proposed image formation method in combination with range-instantaneous-Doppler techn ...
DOI:
10.1080/01431161.2018.1547454

4. SRAD-CNN for adaptive synthetic aperture radar image classification

Author:
Anjun, Zhang; Yang, Xuezhi; Jia, Lu; Ai, Jiaqiu; Xia, Jingfan
Source:
International journal of remote sensing 2019 v.40 no.9 pp. 3461-3485
ISSN:
1366-5901
Subject:
algorithms; anisotropy; immunity; remote sensing; synthetic aperture radar
Abstract:
... The performance of synthetic aperture radar (SAR) image classification based on a conventional convolutional neural network (CNN) is limited by a trade-off between immunity to speckle noise and the ability to locate boundaries accurately. Difficulties regarding the accurate location of boundaries are a result of the smoothing effect of the pooling layer. To address this issue, we propose a novel f ...
DOI:
10.1080/01431161.2018.1547450