Scheduled System Maintenance
We are currently undergoing maintenance that may cause intermittent performance issues. We apologize for any inconvenience.

# IEEE Geoscience and Remote Sensing Letters

## Issue 9 • Sept. 2018

The purchase and pricing options for this item are unavailable. Select items are only available as part of a subscription package. You may try again later or contact us for more information.

## Filter Results

Displaying Results 1 - 25 of 40
• ### Front Cover

Publication Year: 2018, Page(s): C1
| PDF (927 KB)
• ### IEEE Geoscience and Remote Sensing Letters publication information

Publication Year: 2018, Page(s): C2
| PDF (125 KB)

Publication Year: 2018, Page(s):1305 - 1306
| PDF (316 KB)
• ### An Evaporation Duct Height Prediction Method Based on Deep Learning

Publication Year: 2018, Page(s):1307 - 1311
| | PDF (8333 KB) | HTML

An evaporation duct is a particular atmospheric duct that is crucial for marine vessel communication, and one of the most significant indexes to assess it is evaporation duct height (EDH). In this letter, we propose a new method based on a multilayer perceptron (MLP), a classic network in deep learning, to predict the EDH. After so many experiments, the structure of MLP for EDH estimation is chose... View full abstract»

• ### Wind Speed Estimation From X-Band Marine Radar Images Using Support Vector Regression Method

Publication Year: 2018, Page(s):1312 - 1316
| | PDF (2030 KB) | HTML

A support vector regression (SVR)-based method for estimating wind speed from X-band marine radar images is proposed. The dependence of histogram pattern of radar images on wind speed and rain condition is first observed. Then, the feature vectors based on bin values of histograms are extracted and trained using an SVR algorithm. Radar images and anemometer data collected from several periods in a... View full abstract»

Publication Year: 2018, Page(s):1317 - 1321
| | PDF (1645 KB) | HTML

High-frequency surface wave radar (HFSWR) suffers from a man-made interference because its amplitude is high enough to mask the Bragg scattering signal. Although several methods have been proposed for resolving this problem, they are inapplicable to compact HFSWR due to their antenna structures. This letter proposes an effective method of suppressing man-made radio frequency interference for compa... View full abstract»

• ### Radio Frequency Interference Cancelation in High-Frequency Surface Wave Radar Using Orthogonal Projection Filtering

Publication Year: 2018, Page(s):1322 - 1326
| | PDF (2162 KB) | HTML

The characteristics of radio frequency interference (RFI) are analyzed for high-frequency surface wave radar (HFSWR), which adopts a linear frequency-modulated interrupted continuous wave. If RFI enters the receiver, it contaminates the positive and negative frequency range bins simultaneously, whereas the negative frequency range bins contain the RFI and noise only. Moreover, RFI is always spatia... View full abstract»

• ### Correction of Ionospheric Artifacts in SAR Data: Application to Fault Slip Inversion of 2009 Southern Sumatra Earthquake

Publication Year: 2018, Page(s):1327 - 1331
| | PDF (5468 KB) | HTML

Interferometric synthetic aperture radar (InSAR) is one of the most popular geodetic techniques for studying earthquake-related crustal displacements. Satellite SAR signals interact with the ionosphere when they travel through it during the synthetic aperture time. The condition of the ionosphere and its variation can significantly affect spaceborne InSAR measurements. In this letter, we use the A... View full abstract»

• ### An Inversion of NMR Echo Data Based on a Normalized Iterative Hard Thresholding Algorithm

Publication Year: 2018, Page(s):1332 - 1336
| | PDF (1062 KB) | HTML

The inversion of nuclear magnetic resonance (NMR) echo data requires solving the discrete Fredholm integral equation of the first kind, which is an ill-posed problem. In this letter, a surrogate objective function of an NMR inversion without an explicit regularization term based on least-squares fitting is introduced to avoid the process of choosing a regularization parameter, and a normalized ite... View full abstract»

• ### Application of Optimal Transport to Exact Zoeppritz Equation AVA Inversion

Publication Year: 2018, Page(s):1337 - 1341
| | PDF (3237 KB) | HTML

Since most information on S-wave velocity and density exists in the middle to large angle range of seismic data, traditional inversion methods based on the Zoeppritz approximation have difficulty in obtaining satisfactory results. Therefore, as a high-accuracy amplitude varied with angle (AVA) inversion, exact Zoeppritz (EZ) equation inversion has aroused a lot of attention in recent years. As for... View full abstract»

• ### Weighted Multisteps Adaptive Autoregression for Seismic Image Denoising

Publication Year: 2018, Page(s):1342 - 1346
| | PDF (2930 KB) | HTML

We devised a new filtering technique for random noise attenuation by weighted multistep adaptive autoregression (WMAAR). We first obtain a series of denoised results by means of different steps adaptive AR, and then we sum these results with different weights. The adaptive AR coefficients are obtained by solving a global regularized least squares problem, in which regularization is used to control... View full abstract»

• ### Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion

Publication Year: 2018, Page(s):1347 - 1351
| | PDF (916 KB) | HTML

Probabilistic topic models have recently shown a great potential in the remote sensing image fusion field, which is particularly helpful in land-cover categorization tasks. This letter first studies the application of probabilistic latent semantic analysis (pLSA) and latent Dirichlet allocation to remote sensing synthetic aperture radar (SAR) and multispectral imaging (MSI) unsupervised land-cover... View full abstract»

• ### Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images

Publication Year: 2018, Page(s):1352 - 1356
| | PDF (2182 KB) | HTML

With the rapid development of remote sensing technology, how to accurately detect changes that have occurred on the land surface has been a critical task, particularly when images come from different satellite sensors. In this letter, we propose an unsupervised change detection method for heterogeneous synthetic aperture radar (SAR) and optical images based on the logarithmic transformation featur... View full abstract»

• ### Simple Strategies to Build Random Compressive Sensing Matrices in Step-Frequency Radars

Publication Year: 2018, Page(s):1357 - 1361
| | PDF (520 KB) | HTML

By applying compressive sensing, we can obtain radar range profile using only part of the frequency bins in step-frequency radars. While the probability of success in obtaining the range profile depends on which frequency bins are used, it seems that there is no general and simple method to choose the set of frequency bins for better probability of success. Although random selection is said to be ... View full abstract»

• ### An Efficient Calibration Algorithm for Large Aperture Array Position Errors in a GEO SAR

Publication Year: 2018, Page(s):1362 - 1366
| | PDF (917 KB) | HTML

Geosynchronous orbit synthetic aperture radar (GEO SAR) plays an important role in wide-area surveillance and the continuous coverage of areas containing targets of interest. However, the relative position errors of large aperture arrays will distort the antenna pattern, which significantly degrades the target detection performance in a GEO SAR system. To address this issue, most of the convention... View full abstract»

• ### Estimating Strain and Rotation From Wrapped SAR Interferograms

Publication Year: 2018, Page(s):1367 - 1371
| | PDF (10473 KB) | HTML

This letter aims to discuss a general framework that allows the direct interpretation of the wrapped differential synthetic aperture radar interferometry phase in terms of surface strain$S$and rotation$R$components. The methodology is demonstrated showing th... View full abstract»

• ### Ship Detection in SAR Images Based on Lognormal$\rho$-Metric

Publication Year: 2018, Page(s):1372 - 1376
| | PDF (870 KB) | HTML

Information geometry emerged from the study of the geometrical structure of a manifold of probability distributions. It defines a Riemannian metric uniquely, which is Fisher information metric. However, the classical Fisher metric method has a limitation that it does not overcome the problem of inhomogeneous and nonstationary clutter for ship detection in synthetic aperture radar (SAR) images. By ... View full abstract»

• ### Classification for SAR Scene Matching Areas Based on Convolutional Neural Networks

Publication Year: 2018, Page(s):1377 - 1381
| | PDF (1743 KB) | HTML

The selection of scene matching areas is a difficult problem in the field of matching guidance. Compared with the traditional methods of matching feature extraction and pattern classification, this letter applies convolutional neural networks (CNN) to the extraction of synthetic aperture radar (SAR) scene matching regions for the first time. First of all, we match the SAR images of the same land t... View full abstract»

• ### Antistretch Edge Detector for SAR Images

Publication Year: 2018, Page(s):1382 - 1386
| | PDF (2806 KB) | HTML

In this letter, an antistretch edge detector has been proposed for synthetic aperture radar (SAR) images. Traditional detectors using anisotropy edge detection filters often incur severe edge stretch. If isotropy edge detection filters are used, the detectors usually have poor edge resolution. Hence, we skillfully fuse an anisotropy edge detection filter with an isotropy one. By embedding the fuse... View full abstract»

• ### A Block-Based Multifeature Extraction Scheme for SAR Image Registration

Publication Year: 2018, Page(s):1387 - 1391
| | PDF (8214 KB) | HTML

In this letter, a block-based multifeature extraction scheme is proposed to register the synthetic aperture radar (SAR) images. With appropriate modifications, the scale-invariant feature transform (SIFT) and the SAR-SIFT operators are used to extract two types of features including texture points and corner points from the SAR images. The input images are divided into a certain number of blocks a... View full abstract»

• ### Background Context-Aware-Based SAR Image Saliency Detection

Publication Year: 2018, Page(s):1392 - 1396
| | PDF (1875 KB) | HTML

Saliency, the distinctive parts of an image, has shown good potential for many applications (e.g., image interpretation and target detection). In this letter, a novel saliency detection method based on background context-aware is proposed for synthetic aperture radar (SAR) images. According to a statistical analysis of SAR image characteristics, several reference background patches (RBPs) are sele... View full abstract»

• ### Superpixel-Level CFAR Detectors for Ship Detection in SAR Imagery

Publication Year: 2018, Page(s):1397 - 1401
| | PDF (7470 KB) | HTML

Synthetic aperture radar (SAR) is one of the most widely employed remote sensing modalities for large-scale monitoring of maritime activity. Ship detection in SAR images is a challenging task due to inherent speckle, discernible sea clutter, and the little exploitable shape information the targets present. Constant false alarm rate (CFAR) detectors, utilizing various sea clutter statistical models... View full abstract»

• ### Fusion of Multifeature Low-Rank Representation for Synthetic Aperture Radar Target Configuration Recognition

Publication Year: 2018, Page(s):1402 - 1406
| | PDF (4669 KB) | HTML

In this letter, we propose a synthetic aperture radar (SAR) target configuration recognition algorithm based on the fusion of multifeature low-rank representations (LRRs). First, Gabor, principal component analysis, and wavelet features are extracted for the SAR training set and test set, respectively. Second, with the LRR model, each feature of the test samples is represented by those of the trai... View full abstract»

• ### Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms

Publication Year: 2018, Page(s):1407 - 1411
| | PDF (7202 KB) | HTML

The interferometric coherence is a measure of the correlation between two SAR images and constitutes a commonly used estimator of the phase quality. Its estimation requires a spatial average within a 2-D window, usually named as multilook. The multilook processing allows reducing noise at the expenses of a resolution loss. In this letter, we analyze the influence of the multilook size while applyi... View full abstract»

• ### A Multilook Processing Approach to 3-D ISAR Imaging Using Phased Arrays

Publication Year: 2018, Page(s):1412 - 1416
| | PDF (1166 KB) | HTML

This letter introduces novel processing structures enabling the formation of 3-D inverse synthetic aperture radar (ISAR) images from phased arrays. Unlike previous approaches to 3-D ISAR imaging, this approach uses a spatio-sensor multilook processing procedure that takes better advantage of both 1) the range-Doppler structure of the target and 2) the multiple phase center structure of the process... View full abstract»

## Aims & Scope

IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Alejandro C. Frery