# IEEE Geoscience and Remote Sensing Letters

## Filter Results

Displaying Results 1 - 25 of 51
• ### Front Cover

Publication Year: 2015, Page(s): C1
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• ### IEEE Geoscience and Remote Sensing Letters publication information

Publication Year: 2015, Page(s): C2
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• ### Table of contents

Publication Year: 2015, Page(s):1165 - 1384
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• ### How To Successfully Make a Scientific Contribution Through IEEE Geoscience and Remote Sensing Letters

Publication Year: 2015, Page(s):1167 - 1169
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After more than a year of serving as Editor-in-Chief, I have collected impressions from authors, reviewers, and Associate Editors about certain patterns that lead to having manuscripts accepted. This Editorial aims at sharing these impressions. View full abstract»

• ### Influence of Particle Composition on Remote Sensing Reflectance and MERIS Maximum Chlorophyll Index Algorithm: Examples From Taihu Lake and Chaohu Lake

Publication Year: 2015, Page(s):1170 - 1174
Cited by:  Papers (3)
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Using data collected from two eutrophic lakes located in eastern China (Taihu Lake, 2330 km2 and Chaohu Lake, 760 km2), the influence of variable particle composition on remote sensing reflectance (Rrs, in sr-1) properties and on the Medium Resolution Imaging Spectrometer (MERIS) maximum chlorophyll index (MCI) algorithm for estimating near-surface chlorophyll-a co... View full abstract»

• ### Estimation of Fractional Vegetation Cover in Semiarid Areas by Integrating Endmember Reflectance Purification Into Nonlinear Spectral Mixture Analysis

Publication Year: 2015, Page(s):1175 - 1179
Cited by:  Papers (8)
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Fractional vegetation cover (FVC) is one of the fundamental parameters for characterizing terrestrial ecosystems, with wide uses in various environmental and climate-related modeling applications. The remote sensing technique provides a unique opportunity for estimating FVC over large geographical areas by employing spectral mixture analysis (SMA). The effectiveness of SMA depends largely on the a... View full abstract»

• ### Three-Dimensional Cole-Cole Model Inversion of Induced Polarization Data Based on Regularized Conjugate Gradient Method

Publication Year: 2015, Page(s):1180 - 1184
Cited by:  Papers (1)
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Modeling of induced polarization (IP) phenomena is important for developing effective methods for remote sensing of subsurface geology. However, the quantitative interpretation of IP data in a complex 3-D environment is still a challenging problem of applied geophysics. This letter develops a method of determining a 3-D distribution of the four parameters of the Cole-Cole model based on surface IP... View full abstract»

• ### Performance Evaluation of Semantic Kriging: A Euclidean Vector Analysis Approach

Publication Year: 2015, Page(s):1185 - 1189
Cited by:  Papers (3)
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Prediction of spatial attributes in geospatial data repositories is indispensable in the field of remote sensing and geographic information system. The semantic kriging (SemK) approach semantically captures the domain knowledge of the terrain in terms of local spatial features for spatial attribute prediction. It produces better results than ordinary kriging and other prediction methods. This lett... View full abstract»

• ### Built-Up Area Detection From Satellite Images Using Multikernel Learning, Multifield Integrating, and Multihypothesis Voting

Publication Year: 2015, Page(s):1190 - 1194
Cited by:  Papers (2)
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This letter proposes a novel supervised approach for accurate built-up area detection from high-resolution remote sensing images. In existing supervised built-up area detection approaches based on block-based image interpretation, the determination of the block size and the pursuit of the pixel-level result are not well addressed. Concerning these issues, this letter proposes a complete and system... View full abstract»

• ### Validity Regions of Soil Moisture Retrieval on the $\mbox{LAI}$– $\theta$ Plane for Agricultural Fields at L-, C-, and X-Bands

Publication Year: 2015, Page(s):1195 - 1198
Cited by:  Papers (2)
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To quantitatively examine the sensitivity of the soil moisture retrieval over agricultural fields, first, we generated a database of radar backscattering coefficients using the first-order vector radiative transfer model for various leaf area indices (LAIs), incidence angles, frequencies, and polarizations. Then, soil moisture contents were retrieved from the backscattering coefficients of the dat... View full abstract»

• ### Fast and Reliable Noise Estimation for Hyperspectral Subspace Identification

Publication Year: 2015, Page(s):1199 - 1203
Cited by:  Papers (1)
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In this letter, we introduce an efficient algorithm to estimate the noise correlation matrix in the initial stage of the hyperspectral signal identification by minimum error (HySime) method, commonly used for signal subspace identification in remotely sensed hyperspectral images. Compared with the current implementations of this stage, the new algorithm for noise estimation relies on the reliable ... View full abstract»

• ### Scanning Strategy for the Multifunction Phased-Array Radar to Satisfy Aviation and Meteorological Needs

Publication Year: 2015, Page(s):1204 - 1208
Cited by:  Papers (5)
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This letter proposes a design concept that can satisfy the requirements for weather observations with a multifunction polarimetric phased-array radar at about 1-min volume update time while meeting present aviation requirements. View full abstract»

• ### Hyperspectral Image Classification Using Weighted Joint Collaborative Representation

Publication Year: 2015, Page(s):1209 - 1213
Cited by:  Papers (22)
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Recently, representation-based classifiers have gained increasing interest in hyperspectral image (HSI) classification. In this letter, based on our previously developed joint collaborative representation (JCR) classifier, an improved version, which is called weighted JCR (WJCR) classifier, is proposed. JCR adopts the same weights when extracting spatial and spectral features from surrounding pixe... View full abstract»

• ### Accurate Aerial Object Localization Using Gravity and Gravity Gradient Anomaly

Publication Year: 2015, Page(s):1214 - 1217
Cited by:  Papers (1)
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Autonomous underwater vehicles (AUVs) have been widely used in diverse contexts, especially military affairs. The smooth operation of the AUV requires accurate localization of surrounding objects, especially the aerial objects. In this letter, a novel and practical method is presented for aerial object localization by using gravity and gravity gradient anomaly. Different from the state-of-the-art ... View full abstract»

• ### Rice Growth Monitoring by Means of X-Band Co-polar SAR: Feature Clustering and BBCH Scale

Publication Year: 2015, Page(s):1218 - 1222
Cited by:  Papers (11)
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Precision agriculture research, which aims to monitor agricultural fields and to manage agricultural practice by considering overall environmental impacts, has gained momentum with the recent improvements in the remote sensing area. The objective of this letter, as a part of precision farming, is to implement Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie (BBCH) scale assignmen... View full abstract»

• ### Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd–Max Quantization

Publication Year: 2015, Page(s):1223 - 1227
Cited by:  Papers (3)
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In this letter, we present a novel technique for unsupervised change analysis that leads to a method of ranking the changes that occur between two satellite images acquired at different moments of time. The proposed change analysis is based on binary descriptors and uses the Hamming distance as a similarity metric. In order to render a completely unsupervised solution, the obtained distances are f... View full abstract»

• ### Nonlinear PCA for Visible and Thermal Hyperspectral Images Quality Enhancement

Publication Year: 2015, Page(s):1228 - 1231
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In this letter, we propose a method aiming at reducing the noise in hyperspectral images based on the nonlinear generalization of principal component analysis (NLPCA). NLPCA is performed by an autoassociative neural network (AANN) that has the hyperspectral image as input and is trained to reconstruct the same image at the output. Due to its topology, characterized by a bottleneck layer, the nonli... View full abstract»

• ### A Novel Image Classification Algorithm Using Overcomplete Wavelet Transforms

Publication Year: 2015, Page(s):1232 - 1236
Cited by:  Papers (1)
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A novel frequency-based classification framework and new wavelet algorithm (Wave-CLASS) is proposed using an over-complete decomposition procedure. This approach omits the downsampling procedure and produces four-texture information with the same dimension of the original image or window at infinite scale. Three image subsets of QuickBird data (i.e., park, commercial, and rural) over a central reg... View full abstract»

• ### A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging

Publication Year: 2015, Page(s):1237 - 1241
Cited by:  Papers (4)
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In this letter, we propose a compressive sensing approach for synthetic aperture radar (SAR) imaging of sparse scenes with 1-bit-quantized data. Within the framework of maximum a posteriori estimation, we formulate the SAR image reconstruction problem as a sparse optimization problem and then solve it using a first-order primal-dual algorithm. The processing results of both simulated and real rada... View full abstract»

• ### Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask

Publication Year: 2015, Page(s):1242 - 1246
Cited by:  Papers (11)
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We developed a new two-step approach for automated masking of clouds and their shadows in Landsat imagery. The first step consists of detecting clouds and cloud shadows in every Landsat image independently by using the Fmask algorithm. We modified two features of the original Fmask: we dropped the termination criterion for shadow matching, and we appended a darkness filter to counteract false posi... View full abstract»

• ### Target Recognition via Information Aggregation Through Dempster–Shafer's Evidence Theory

Publication Year: 2015, Page(s):1247 - 1251
Cited by:  Papers (15)
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In this letter, a novel classification via information aggregation through Dempster-Shafer's (DS) evidence theory has been presented to target recognition in a SAR image. Although the DS theory of evidence has been widely studied over the decades, less attention has been paid to its application for target recognition. To capture the characteristics of a SAR image, this letter exploits a new multid... View full abstract»

• ### Informative Change Detection by Unmixing for Hyperspectral Images

Publication Year: 2015, Page(s):1252 - 1256
Cited by:  Papers (11)
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Applying spectral unmixing on a series of multitemporal hyperspectral images for change detection has the potential to reveal important subpixel-level information, such as the abundance variation of each underlying material in a given location or the change in the distribution of materials throughout the scene, with time or resulting from significant events such as a natural disaster. However, cha... View full abstract»

• ### Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns

Publication Year: 2015, Page(s):1257 - 1261
Cited by:  Papers (7)
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The aim of this letter is twofold. First, we assess the compressive sensing (CS) approach as a classification tool for multispectral remote sensing images, assuming severe scarcity of training samples (at most, ten for each class). Then, we propose a new strategy to perform domain adaptation using a CS approach for classifying images at large spatial scales (continental mapping). In particular, th... View full abstract»

• ### First Global Analysis of Saturation Artifacts in the VIIRS Infrared Channels and the Effects of Sample Aggregation

Publication Year: 2015, Page(s):1262 - 1266
Cited by:  Papers (5)
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Unlike previous spaceborne Earth observing sensors, the Visible Infrared Imaging Radiometer Suite (VIIRS) employs onboard sample aggregation to reduce downlink bandwidth requirements and preserve spatial resolution across the scan. To examine the potentially deleterious impacts of onboard sample aggregation when encountering detector saturation, nearly four months of the National Oceanic and Atmos... View full abstract»

• ### Adaptive Time–Frequency Peak Filtering Based on Convex Sets and the Viterbi Algorithm

Publication Year: 2015, Page(s):1267 - 1271
Cited by:  Papers (3)
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The time-frequency peak filtering (TFPF) uses the instantaneous frequency estimation technique based on the Wigner-Ville distribution (WVD) to recover signal corrupted by random noise. TFPF is equivalent to a time-invariant low-pass filter whose impulse response is determined by the window function used in windowed WVD. Thus, TFPF cannot track the quick changes of signal, which means that the freq... 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
Universidade Federal de Alagoas