# IEEE Geoscience and Remote Sensing Letters

## Filter Results

Displaying Results 1 - 25 of 65
• ### Front Cover

Publication Year: 2016, Page(s): C1
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• ### IEEE Geoscience and Remote Sensing Letters publication information

Publication Year: 2016, Page(s): C2
| |PDF (47 KB)

Publication Year: 2016, Page(s):1745 - 2044
| |PDF (342 KB)
• ### Frequency-Domain Imaging Algorithm for Single-Input–Multiple-Output Array

Publication Year: 2016, Page(s):1747 - 1751
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In this letter, a novel frequency-domain imaging method is proposed for a single-input-multiple-output array, which avoids the frequency-domain interpolation. This method transforms the measurements into the wavenumber domain for compensation. The spectrum data at each frequency are proved to be the Fourier transform of the phase-modulated reflectivity function; therefore, a subimage at a specific... View full abstract»

• ### Region-of-Interest Detection via Superpixel-to-Pixel Saliency Analysis for Remote Sensing Image

Publication Year: 2016, Page(s):1752 - 1756
Cited by:  Papers (3)
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Traditional region-of-interest (ROI) detection methods for remote sensing images are generally formulated at pixel level and are less efficient when applied on large high-resolution images. This letter presents an accurate and efficient approach via superpixel-to-pixel saliency analysis for ROI detection. At first, the image is downsampled and segmented into superpixels by simple linear iterative ... View full abstract»

• ### A Strategy for Reconstructing Simple Shapes From Undersampled Backscattered Data

Publication Year: 2016, Page(s):1757 - 1761
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The shape reconstruction of a strong large scattering object made up of elementary shapes and embedded within a large investigation domain is dealt with from the undersampled multifrequency backscattered field data. First, a migration algorithm is run that, despite aliasing, allows reducing the spatial region, where the scatterer can be located. Then, the overall shape is determined by identifying... View full abstract»

• ### Systematic Anomalies Over Inland Water Bodies of High Mountain Asia in TRMM Precipitation Estimates: No Longer a Problem for the GPM Era?

Publication Year: 2016, Page(s):1762 - 1766
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Two satellite precipitation products (3B42RT and 3B42V7) of the Tropical Rainfall Measuring Mission (TRMM) show systematic overestimation anomalies over inland water bodies in high mountain Asia (HMA). The relative difference (RD) was calculated between precipitation estimates over pixels containing water bodies and over pixels neighboring water bodies. A t-test was employed to check the statistic... View full abstract»

• ### Effects of Urban Geometry on Turbulent Fluxes: A Remote Sensing Perspective

Publication Year: 2016, Page(s):1767 - 1771
Cited by:  Papers (1)
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Two different land surface temperatures (with considering geometry effect and without considering geometry effect) were derived to estimate sensible heat flux over urban areas using remotely sensed land surface temperature. Results showed that the surface temperatures with considering geometry effect could bring up to 18.0% difference in the estimated sensible heat flux over built-up areas. The se... View full abstract»

• ### Estimation Accuracy and Cramér–Rao Lower Bounds for Errors in Multichannel HRWS SAR Systems

Publication Year: 2016, Page(s):1772 - 1776
Cited by:  Papers (1)
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Multichannel synthetic aperture radar promises high-resolution and wide-swath imaging simultaneously. Channel error estimation is a critical step in signal processing before imaging. This letter mainly derives the Cramér-Rao lower bounds (CRLBs) for phase error estimates of three commonly used error estimators. Furthermore, to comprehensively evaluate the estimators, this letter compares b... View full abstract»

• ### SAR Automatic Target Recognition Based on Dictionary Learning and Joint Dynamic Sparse Representation

Publication Year: 2016, Page(s):1777 - 1781
Cited by:  Papers (5)
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In this letter, we propose a novel automatic target recognition (ATR) method based on dictionary learning and joint dynamic sparse representation (DL-JDSR) for synthetic aperture radar (SAR) images. First, in the feature extraction step, we extract two kinds of features, i.e., the image domain amplitude feature and the scale-invariant feature transform (SIFT) feature, of which the image domain amp... View full abstract»

• ### Hyperspectral Image Classification Based on Nonlinear Spectral–Spatial Network

Publication Year: 2016, Page(s):1782 - 1786
Cited by:  Papers (5)
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Recently, for the task of hyperspectral image classification, deep-learning-based methods have revealed promising performance. However, the complex network structure and the time-consuming training process have restricted their applications. In this letter, we construct a much simpler network, i.e., the nonlinear spectral-spatial network (NSSNet), for hyperspectral image classification. NSSNet is ... View full abstract»

• ### Texton-Based Ensemble Classification of Landslide Source and Transport Areas in VHR Imagery

Publication Year: 2016, Page(s):1787 - 1791
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The assessment of sediments produced, displaced, and deposited by landslides is important for hazard evaluation and mitigation. However, existing methods for landslide identification seldom address the effective separation of their internal constituents (source and transport). This letter presents a methodology to classify these constituents in very high resolution remotely sensed images. It is ba... View full abstract»

• ### Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet

Publication Year: 2016, Page(s):1792 - 1796
Cited by:  Papers (3)
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This letter presents a novel change detection method for multitemporal synthetic aperture radar images based on PCANet. This method exploits representative neighborhood features from each pixel using PCA filters as convolutional filters. Thus, the proposed method is more robust to the speckle noise and can generate change maps with less noise spots. Given two multitemporal images, Gabor wavelets a... View full abstract»

• ### Monitoring Orbital Precession of EO-1 Hyperion With Three Atmospheric Correction Models in the Libya-4 PICS

Publication Year: 2016, Page(s):1797 - 1801
Cited by:  Papers (1)
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Spaceborne spectrometers require spectral-temporal stability characterization to aid in validation of derived data products. Earth Observation 1 (EO-1) began orbital precession in 2011 after exhausting onboard fuel resources. In the Libya-4 pseudoinvariant calibration site (PICS), this resulted in a progressive shift from a mean local equatorial crossing time of ~10:00 A.M. in 2011 to ~8:30 A.M. i... View full abstract»

• ### Clutter Removal in Ground-Penetrating Radar Images Using Morphological Component Analysis

Publication Year: 2016, Page(s):1802 - 1806
Cited by:  Papers (2)
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Ground-penetrating radar (GPR) is one of the most popular subsurface sensing devices and has a wide range of applications, e.g., target detection. It is well known that the target detection process in the GPR is highly affected by clutter. Especially, in the case of landmine detection, since targets are located near the surface, a target signal may be completely covered by the clutter. Thus, clutt... View full abstract»

• ### Region-Based Estimate of Endmember Variances for Hyperspectral Image Unmixing

Publication Year: 2016, Page(s):1807 - 1811
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Endmember variability is receiving growing attention in the hyperspectral image (HSI) unmixing field. As an extension of linear mixing model (LMM), normal compositional model (NCM) assumes that the pixels of the HSI are linear combinations of random endmembers (as opposed to deterministic for the LMM). NCM explains spectral differences between the observed pixels and endmembers as endmember mixtur... View full abstract»

• ### Volume Decorrelation Effects in TanDEM-X Interferometric SAR Data

Publication Year: 2016, Page(s):1812 - 1816
Cited by:  Papers (5)
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Among the several factors that may affect the quality of interferometric synthetic aperture radar (SAR) products, volume decorrelation represents the coherence loss contribution due to the presence of multiple scatterers within a single resolution cell, which results in an increase in the interferometric phase uncertainty. In this letter, we investigate the effects of volume decorrelation on X-ban... View full abstract»

• ### Detection of Damaged Rooftop Areas From High-Resolution Aerial Images Based on Visual Bag-of-Words Model

Publication Year: 2016, Page(s):1817 - 1821
Cited by:  Papers (1)
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The classification of damaged building types has received increasing attention in recent years. The detection of damaged rooftop areas is crucial to improve the accuracy of classification of building damaged types. In this letter, an approach for the automatic detection of damaged rooftops areas based on the visual bag-of-words (BoWs) model is presented. First, the building rooftop is segmented in... View full abstract»

• ### A User-Oriented Simplification of the ( $V,W$ ) Burn-Sensitive Vegetation Index System

Publication Year: 2016, Page(s):1822 - 1826
Cited by:  Papers (1)
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Remote sensing from spaceborne sensors combining near- and middle-infrared information has proved to be an efficient means to monitor the effects of vegetation fires. Burn-sensitive spectral indices, such as the (V, W) index system, have been developed and successfully applied for burned area discrimination. The (V, W) index system provides useful capability to discriminate burned pixels, but the ... View full abstract»

• ### Use of Operational Microwave Link Measurements for the Tomographic Reconstruction of 2-D Maps of Accumulated Rainfall

Publication Year: 2016, Page(s):1827 - 1831
Cited by:  Papers (1)
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In this letter, we show how an operational microwave link network can be used to reconstruct 2-D fields of accumulated rainfall over a limited area at ground level. To this purpose, we use a tomographic technique that exploits the relation between rainfall rate and the attenuation experienced by the microwave links of the network. The links located in Italy operate at K-band and are managed by an ... View full abstract»

• ### Space-Surface Bistatic SAR Image Enhancement Based on Repeat-Pass Coherent Fusion With Beidou-2/Compass-2 as Illuminators

Publication Year: 2016, Page(s):1832 - 1836
Cited by:  Papers (3)
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Low signal power density limits the performance of space-surface bistatic synthetic aperture radar (SS-BiSAR) using Global Navigation Satellite System (GNSS) satellites as illuminators. To tackle this problem, in this letter, a novel bistatic SAR image enhancement technique based on repeat-pass coherent fusion is proposed. The works in this letter include three aspects. First, repeat-pass experime... View full abstract»

• ### Correction of a Towed Airborne Fluxgate Magnetic Tensor Gradiometer

Publication Year: 2016, Page(s):1837 - 1841
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The small impact of the geomagnetic field enables a magnetic tensor gradiometer to be easily installed on the flight platform for airborne geophysical exploration, especially for the detection of shallow buried mines and magnetic moving targets. Using the fluxgates as the core components, the gradiometer has the advantages of wide temperature range, low cost, and high resolution, but has the disad... View full abstract»

• ### An Efficient Planar Feature Fitting Method Using Point Cloud Simplification and Threshold-Independent BaySAC

Publication Year: 2016, Page(s):1842 - 1846
Cited by:  Papers (1)
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Three-dimensional laser scanning can acquire point cloud data with high spatial resolution. However, for practical applications, such as point cloud fitting and 3-D reconstruction, there is usually significant data redundancy, which reduces the operational efficiency. In this letter, we propose a fast point cloud fitting algorithm that uses point cloud simplification to preserve feature boundaries... View full abstract»

• ### Range Distributed Floating Target Detection in Sea Clutter via Feature-Based Detector

Publication Year: 2016, Page(s):1847 - 1850
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We investigate the detection of range distributed floating target in sea clutter that consists of stationary speckle modulated by nonstationary texture. With the elimination of the nonstationary part of sea clutter, here a feature-based detector using the consistency factor of speckle is proposed. Experimental results of IPIX radar data sets show that the proposed feature-based detector achieves t... View full abstract»

• ### Soft-Then-Hard Subpixel Land Cover Mapping Based on Spatial-Spectral Interpolation

Publication Year: 2016, Page(s):1851 - 1854
Cited by:  Papers (2)
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In this letter, a novel subpixel sharpening for soft-then-hard subpixel mapping (SPM) is proposed. First, the fractional images for each class are, respectively, derived by spectral unmixing followed by spatial interpolation and by spectral interpolation followed by spectral unmixing. Bilinear and bicubic interpolation is used as the spatial and spectral interpolation methods. The fractional image... 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