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# IEEE Geoscience and Remote Sensing Letters

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Displaying Results 1 - 25 of 33
• ### [Front cover]

Publication Year: 2014, Page(s): C1
| PDF (352 KB)
• ### IEEE Geoscience and Remote Sensing Letters publication information

Publication Year: 2014, Page(s): C2
| PDF (141 KB)

Publication Year: 2014, Page(s):889 - 890
| PDF (125 KB)
• ### Advances in $\hbox{CO}_{2}$ Observations From AIRS and ACOS

Publication Year: 2014, Page(s):891 - 895
Cited by:  Papers (5)
| | PDF (1090 KB) | HTML

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) archives and distributes pioneering collections of data on atmospheric greenhouse gases. In September of 2012, the Atmospheric Infrared Sounder (AIRS) marked a decade of tropospheric observations of carbon dioxide (CO2). Most recently, the Atmospheric CO2 Observations from Space (ACOS) project and GES... View full abstract»

• ### An Amplitude-Preserved Time–Frequency Peak Filtering Based on Empirical Mode Decomposition for Seismic Random Noise Reduction

Publication Year: 2014, Page(s):896 - 900
Cited by:  Papers (6)
| | PDF (1458 KB) | HTML

Time-frequency peak filtering (TFPF) is a classical filtering method in time-frequency domain. It applies Wigner-Ville distribution to estimate the instantaneous frequency of an analytical signal. There is a pair of contradiction in this method, i.e., selecting a short window length may lead to good preservation for signal amplitude but bad random noise reduction whereas selecting a long window le... View full abstract»

• ### Hyperspectral Image Classification Based on Relaxed Clustering Assumption and Spatial Laplace Regularizer

Publication Year: 2014, Page(s):901 - 905
Cited by:  Papers (8)
| | PDF (375 KB) | HTML

In this letter, a relaxed clustering assumption and spatial Laplace-regularizer-based semisupervised hyperspectral image classifier is proposed. Considering the mixed pixels and noise intrinsic in hyperspectral image, we relax the clustering assumption employed in most of the available classifiers so that the similar hyperspectral vectors tend to share the “similar” labels instead of... View full abstract»

• ### A SAR Image Registration Method Based on Pixel Migration of Edge-Point Feature

Publication Year: 2014, Page(s):906 - 910
Cited by:  Papers (7)
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In this letter, a synthetic aperture radar (SAR) image registration method based on edge-point features is presented to improve precision, robustness, and applicability of SAR image registration. First, an affine transformation model is decomposed into six parameters with explicit geometric meanings. Next, based on the strength and direction features of the edge point, a matching similarity criter... View full abstract»

• ### Adaptive Through-Wall Indication of Human Target with Different Motions

Publication Year: 2014, Page(s):911 - 915
Cited by:  Papers (13)
| | PDF (991 KB) | HTML

Through-wall indication of human targets is highly desired in many applications. Generally, human targets behind wall are noncooperative, and rare prior knowledge about the circumstance behind wall could be available. Thus, it requires the ability to indicate human targets with different motions from clutters. To investigate this problem, we first examine the conventional time-domain indication me... View full abstract»

• ### Region-of-Interest Extraction Based on Frequency Domain Analysis and Salient Region Detection for Remote Sensing Image

Publication Year: 2014, Page(s):916 - 920
Cited by:  Papers (19)
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Traditional approaches for detecting visually salient regions or targets in remote sensing images are inaccurate and prohibitively computationally complex. In this letter, a fast, efficient region-of-interest extraction method based on frequency domain analysis and salient region detection (FDA-SRD) is proposed. First, the HSI transform is used to preprocess the remote sensing image from RGB space... View full abstract»

• ### VecStatGraphs2D, A Tool for the Analysis of Two-Dimensional Vector Data: An Example Using QuikSCAT Ocean Winds

Publication Year: 2014, Page(s):921 - 925
Cited by:  Papers (2)
| | PDF (620 KB) | HTML

Circular or directional data are used in disciplines such as meteorology, geomatics, biology, and geology. The analysis of angular data requires special methods that are available in some statistical packages. However, these tools analyze only the angular values and do not include the vector modules, assuming unit vectors in all cases. In this letter, an open-source graphic and statistical package... View full abstract»

• ### Interpolation-Free Stolt Mapping for SAR Imaging

Publication Year: 2014, Page(s):926 - 929
Cited by:  Papers (4)
| | PDF (266 KB) | HTML

Interpolation-free Stolt mapping, based on Fourier transform and phase multiplications, is proposed. Benefiting from this method, an efficient wavenumber domain algorithm (E-ω-k) can be achieved for generic synthetic aperture radar imaging. The method is finally demonstrated using simulated data. View full abstract»

• ### Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening

Publication Year: 2014, Page(s):930 - 934
Cited by:  Papers (30)
| | PDF (706 KB) | HTML

The pansharpening process has the purpose of building a high-resolution multispectral image by fusing low spatial resolution multispectral and high-resolution panchromatic observations. A very credited method to pursue this goal relies upon the injection of details extracted from the panchromatic image into an upsampled version of the low-resolution multispectral image. In this letter, we compare ... View full abstract»

• ### Determination of Local Slope on the Greenland Ice Sheet Using a Multibeam Photon-Counting Lidar in Preparation for the ICESat-2 Mission

Publication Year: 2014, Page(s):935 - 939
Cited by:  Papers (3)
| | PDF (657 KB) | HTML

The greatest changes in elevation in Greenland and Antarctica are happening along the margins of the ice sheets where the surface frequently has significant slopes. For this reason, the upcoming Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) mission utilizes pairs of laser altimeter beams that are perpendicular to the flight direction in order to extract slope information in addition to ele... View full abstract»

• ### Classification of Very High Spatial Resolution Imagery Based on a New Pixel Shape Feature Set

Publication Year: 2014, Page(s):940 - 944
Cited by:  Papers (5)
| | PDF (1047 KB) | HTML

This letter presents a novel spatial features extraction method for the high spatial resolution multispectral imagery (HSRMI) classification. First, Canny filter algorithm is applied to extract the edge information to obtain the fuzzy edge map. Secondly, adaptive threshold value for each pixel's homogeneous region (PHR) calculation is determined based on the fuzzy edge map and original image. Next... View full abstract»

• ### Ocean Color Continuity From VIIRS Measurements Over Tampa Bay

Publication Year: 2014, Page(s):945 - 949
Cited by:  Papers (8)
| | PDF (812 KB) | HTML

Ocean color continuity calls for consistent observations from multiple sensors in order to establish a seamless data record to address earth science questions. Currently, both Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Terra and Aqua satellites are being operated well beyond their designed five-year mission life, and they have shown signs of sensor degradation. It is ... View full abstract»

• ### Identifying Man-Made Objects Along Urban Road Corridors From Mobile LiDAR Data

Publication Year: 2014, Page(s):950 - 954
Cited by:  Papers (7)
| | PDF (963 KB) | HTML

This letter is dedicated to a generic approach for the automated detection and classification of man-made objects in urban corridors from point clouds acquired by vehicle-borne mobile laser scanning (MLS). The approach is designed based on a priori knowledge in urban areas: 1) man-made objects feature geometric regularity such as vertical planar structures (e.g., building facades), whereas vegetat... View full abstract»

• ### Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Publication Year: 2014, Page(s):955 - 959
Cited by:  Papers (16)
| | PDF (673 KB) | HTML

Spectral unmixing amounts to automatically finding the signatures of pure spectral components (called endmembers in the hyperspectral imaging literature) and their associated abundance fractions in each pixel of the hyperspectral image. Many algorithms have been proposed to automatically find spectral endmembers in hyperspectral data sets. Perhaps one of the most popular ones is the pixel purity i... View full abstract»

• ### SAR Image Filtering Based on the Cauchy–Rayleigh Mixture Model

Publication Year: 2014, Page(s):960 - 964
Cited by:  Papers (5)
| | PDF (691 KB) | HTML

In this letter, a novel maximum a posteriori (MAP) filter for synthetic aperture radar (SAR) images is developed. We characterize the return signal of SAR using the Cauchy-Rayleigh mixture model, which is an approximation to the heavy-tailed Rayleigh distribution. The parameters of the Cauchy-Rayleigh mixture model are estimated from the noisy observation by using the expectation-maximization algo... View full abstract»

• ### Parallax Correction in the Analysis of Multiple Satellite Data Sets

Publication Year: 2014, Page(s):965 - 969
Cited by:  Papers (2)
| | PDF (510 KB) | HTML

This letter describes a general solution to the parallax correction issue concerning the collocation of measurements of the same object from different satellites that use different viewing geometries. Two examples in cloud remote sensing are described with case studies. The applicability of the parallax correction is also discussed. Correct collocation of data collected by multiple satellites is n... View full abstract»

• ### Multichannel and Multiview Imaging Approach to Building Layout Determination of Through-Wall Radar

Publication Year: 2014, Page(s):970 - 974
Cited by:  Papers (7)
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This letter considers the problem of building layout determination using through-wall-radar imaging technology, which employs multiple transmit-receive channels to implement multiview synthetic aperture imaging. In each view, the phase errors of multichannel data introduced by the unknown walls deteriorate significantly the performance of the coherently data-combined algorithm by Le Herein, we fir... View full abstract»

• ### A Principal Component Based Haze Masking Method for Visible Images

Publication Year: 2014, Page(s):975 - 979
Cited by:  Papers (5)
| | PDF (753 KB) | HTML

Land surfaces are commonly obstructed by haze in remote sensing images, which reduces the available land cover information. Haze detection is therefore important for locating, avoiding, or restoring hazy regions. In this letter, a principal component (PC)-based haze masking (PCHM) method is developed for the masking of haze in visible remote sensing images covering land surfaces at middle latitude... View full abstract»

• ### Hyperspectral Imagery Classification Based on Rotation-Invariant Spectral–Spatial Feature

Publication Year: 2014, Page(s):980 - 984
Cited by:  Papers (4)
| | PDF (1119 KB) | HTML

In this letter, we present a novel approach for spectral-spatial classification in hyperspectral imagery. After applying principal component (PC) analysis for dimensionality reduction, we extract the spectral-spatial information by first reorganizing the local image patch with the first d PCs into a vector representation, followed by a sorting scheme to make the vector invariant to local image rot... View full abstract»

• ### An Improved Adaptive Intensity–Hue–Saturation Method for the Fusion of Remote Sensing Images

Publication Year: 2014, Page(s):985 - 989
Cited by:  Papers (22)
| | PDF (733 KB) | HTML

Extending on the adaptive intensity-hue-saturation (AIHS) method, an improved AIHS (IAIHS) method is proposed for pansharpening in this letter. Through the IAIHS method, the amount of spatial details injected into each band of the multispectral (MS) image is appropriately determined by a weighting matrix, which is defined on the basis of the edges of the panchromatic and MS images and the proporti... View full abstract»

• ### Compressive Sensing-Based ISAR Imaging via the Combination of the Sparsity and Nonlocal Total Variation

Publication Year: 2014, Page(s):990 - 994
Cited by:  Papers (14)
| | PDF (484 KB) | HTML

The sparsity of targets intrinsically paves a new way to apply compressive sensing (CS) to inverse SAR (ISAR) imaging. However, in the CS-based ISAR imaging system, the ISAR image is considered as a vector composed of random and independent scattering points, and the dependence between pixels is ignored, which always results in the degradation of the shape and geometry of targets, especially when ... View full abstract»

• ### Markovian Change Detection of Urban Areas Using Very High Resolution Complex SAR Images

Publication Year: 2014, Page(s):995 - 999
Cited by:  Papers (18)
| | PDF (786 KB) | HTML

In this letter, an innovative technique for change detection in urban areas using very high resolution synthetic aperture radar multichannel stacks is proposed. Instead of using the amplitude image, as in classical change detection approaches, the proposed technique uses the full complex image in a Markovian framework. The complex data are modeled using Markov random field hyperparameters, which a... 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