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IEEE Transactions on Geoscience and Remote Sensing

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Displaying Results 1 - 25 of 61
• [Front cover]

Publication Year: 2014, Page(s): C1
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• IEEE Transactions on Geoscience and Remote Sensing publication information

Publication Year: 2014, Page(s): C2
| PDF (142 KB)

Publication Year: 2014, Page(s):6777 - 7480
| PDF (130 KB)
• Rapid Spectral Cloud Screening Onboard Aircraft and Spacecraft

Publication Year: 2014, Page(s):6779 - 6792
Cited by:  Papers (5)
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Next-generation orbital imaging spectrometers will generate unprecedented data volumes, demanding new methods to optimize storage and communication resources. Here, we demonstrate that onboard analysis can excise cloud-contaminated scenes, reducing data volumes while preserving science return. We calculate optimal cloud-screening parameters in advance, exploiting stable radiometric calibration and... View full abstract»

• Hyperspectral Unmixing With $l_{q}$ Regularization

Publication Year: 2014, Page(s):6793 - 6806
Cited by:  Papers (20)
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Hyperspectral unmixing is an important technique for analyzing remote sensing images. In this paper, we consider and examine the ℓq, 0 ≤ q ≤ 1 penalty on the abundances for promoting sparse unmixing of hyperspectral data. We also apply a first-order roughness penalty to promote piecewise smooth end-members. A novel iterative algorithm for simultaneously estimating t... View full abstract»

• Adaptive Covariance Matrix Estimation for Multi-Baseline InSAR Data Stacks

Publication Year: 2014, Page(s):6807 - 6817
Cited by:  Papers (7)
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For many multidimensional applications of synthetic aperture radar (SAR) imaging, the estimation of the covariance matrix for each resolution cell is a critical processing step. The context of this work is the application of covariance matrix estimation for multi-baseline interferometric SAR data sets. In order to ensure local stationarity, which is needed for an unbiased estimation, adaptive tech... View full abstract»

• Multisensor Microwave Sensitivity to Freeze/Thaw Dynamics Across a Complex Boreal Landscape

Publication Year: 2014, Page(s):6818 - 6828
Cited by:  Papers (9)
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The annual freeze/thaw (FT) cycle determines the potential growing season in boreal landscapes and is a major factor determining ecosystem productivity and associated exchange of trace gases (CO2, H2O) with the atmosphere. Accurate characterization of these processes can improve regional assessment of seasonal carbon dynamics and climate feedbacks. FT process variations are s... View full abstract»

• Spaceborne GNSS-R Minimum Variance Wind Speed Estimator

Publication Year: 2014, Page(s):6829 - 6843
Cited by:  Papers (26)
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A Minimum Variance (MV) wind speed estimator for Global Navigation Satellite System-Reflectometry (GNSS-R) is presented. The MV estimator is a composite of wind estimates obtained from five different observables derived from GNSS-R Delay-Doppler Maps (DDMs). Regression-based wind retrievals are developed for each individual observable using empirical geophysical model functions that are derived fr... View full abstract»

• A Discriminative Metric Learning Based Anomaly Detection Method

Publication Year: 2014, Page(s):6844 - 6857
Cited by:  Papers (77)
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Due to the high spectral resolution, anomaly detection from hyperspectral images provides a new way to locate potential targets in a scene, especially those targets that are spectrally different from the majority of the data set. Conventional Mahalanobis-distance-based anomaly detection methods depend on the background statistics to construct the anomaly detection metric. One of the main problems ... View full abstract»

• SAR Image Denoising via Clustering-Based Principal Component Analysis

Publication Year: 2014, Page(s):6858 - 6869
Cited by:  Papers (10)
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The combination of nonlocal grouping and transformed domain filtering has led to the state-of-the-art denoising techniques. In this paper, we extend this line of study to the denoising of synthetic aperture radar (SAR) images based on clustering the noisy image into disjoint local regions with similar spatial structure and denoising each region by the linear minimum mean-square error (LMMSE) filte... View full abstract»

• Evaluation of TRMM PR Sampling Error Over a Subtropical Basin Using Bootstrap Technique

Publication Year: 2014, Page(s):6870 - 6881
Cited by:  Papers (4)
| | PDF (1394 KB) | HTML

Quantitative use of satellite-derived rainfall products for various scientific applications often requires them to be accompanied with an error estimate. Rainfall estimates inferred from low earth orbiting satellites like the Tropical Rainfall Measuring Mission (TRMM) will be subjected to sampling errors of nonnegligible proportions owing to the narrow swath of satellite sensors coupled with a lac... View full abstract»

• Calibration of NIR 2 of Spectral Profiler Onboard Kaguya/SELENE

Publication Year: 2014, Page(s):6882 - 6898
Cited by:  Papers (2)
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The Spectral Profiler (SP) is a visible-near infrared spectrometer onboard the Japanese Selenological and Engineering Explorer (SELENE), which was launched in 2007 and observed the Moon until June 2009. The SP consists of two gratings and three linear-array detectors: VIS (0.5-1.0 μm), NIR 1 (0.9- 1.7 μm), and NIR 2 (1.7-2.6 μm). In this paper, we propose a new method for radi... View full abstract»

• A Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification

Publication Year: 2014, Page(s):6899 - 6910
Cited by:  Papers (11)
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In this paper, a novel iterative active learning technique based on self-organizing map (SOM) neural network and support vector machine (SVM) classifier is presented. The technique exploits the properties of the SVM classifier and of the SOM neural network to identify uncertain and diverse samples, to include in the training set. It selects uncertain samples from low-density regions of the feature... View full abstract»

• An Efficient Algorithm of Both Fréchet Derivative and Inversion of MCIL Data in a Deviated Well in a Horizontally Layered TI Formation Based on TLM Modeling

Publication Year: 2014, Page(s):6911 - 6923
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In this paper, we set up an efficient Fréchet derivative algorithm of inversion of multicomponent induction logging (MCIL) data in horizontal layered transversely isotropic (TI) formations based on transmission line method (TLM) in order to simultaneously reconstruct the model vector including both horizontal and vertical conductivities, horizontal interfaces, borehole dipping angle, and t... View full abstract»

• A New Sparse Source Separation-Based Classification Approach

Publication Year: 2014, Page(s):6924 - 6936
Cited by:  Papers (2)
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In many geoscience applications, we have to convert remotely sensed images to ground cover maps. Numerous approaches to extract ground cover information have been developed. Recently, blind source separation (BSS) of remote-sensing data has received significant attention due to its suitability to recover sources when no information is available about the scanned zone, hence the term blind. In the ... View full abstract»

• Active and Semisupervised Learning for the Classification of Remote Sensing Images

Publication Year: 2014, Page(s):6937 - 6956
Cited by:  Papers (39)
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This paper aims at analyzing and comparing active learning (AL) and semisupervised learning (SSL) methods for the classification of remote sensing (RS) images. We present a literature review of the two learning paradigms and compare them theoretically and experimentally when addressing classification problems characterized by few training samples (w.r.t. the number of features) and affected by sam... View full abstract»

• Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments

Publication Year: 2014, Page(s):6957 - 6963
Cited by:  Papers (5)
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Having an accurate atmospheric thermodynamic state is critical for environmental research, particularly the vertical temperature and moisture profiles within the atmospheric boundary layer. This paper investigates the synergistic use of spaceborne hyperspectral infrared radiance measurement and traditional surface observation to conduct the best estimation of atmospheric temperature and water vapo... View full abstract»

• Improved VIIRS Day/Night Band Imagery With Near-Constant Contrast

Publication Year: 2014, Page(s):6964 - 6971
Cited by:  Papers (10)
| | PDF (1322 KB) | HTML

The Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS) instrument provides the next generation of visible/infrared imaging including the day/night band (DNB) with nominal bandwidth from 500 to 900 nm. Previous to VIIRS, the Defense Meteorological Satellite Program Operational Linescan System (OLS) measured radiances that spanned over seven orders of magnitude, using an onboard gain adjustm... View full abstract»

• Object-Oriented Shadow Detection and Removal From Urban High-Resolution Remote Sensing Images

Publication Year: 2014, Page(s):6972 - 6982
Cited by:  Papers (10)
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In accordance with the characteristics of urban high-resolution color remote sensing images, we put forward an object-oriented shadow detection and removal method. In this method, shadow features are taken into consideration during image segmentation, and then, according to the statistical features of the images, suspected shadows are extracted. Furthermore, some dark objects which could be mistak... View full abstract»

• A Multiple Migration and Stacking Algorithm Designed for Land Mine Detection

Publication Year: 2014, Page(s):6983 - 6988
Cited by:  Papers (5)
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This paper describes a modification to a standard migration algorithm for land mine detection with a ground-penetrating radar (GPR) system. High directivity from the antenna requires a significantly large aperture in relation to the operating wavelength, but at the frequencies of operation of GPR, this would result in a large and impractical antenna. For operator convenience, most GPR antennas are... View full abstract»

• Analysis of the Performance of the TES Algorithm Over Urban Areas

Publication Year: 2014, Page(s):6989 - 6998
Cited by:  Papers (6)
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The temperature and emissivity separation (TES) algorithm is used to retrieve the land surface emissivity (LSE) and land surface temperature (LST) values from multispectral thermal infrared sensors. In this paper, we analyze the performance of this methodology over urban areas, which are characterized by a large number of different surface materials, a variability in the lowest layer of the atmosp... View full abstract»

• Optimal Energy Transfer Pipe Arrangement for Acoustic Drill String Telemetry

Publication Year: 2014, Page(s):6999 - 7007
Cited by:  Papers (3)
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Drill string acoustic telemetry is an effective transmission method to retrieve downhole data. Finite-difference simulations produce the comb-filter-like channel response (patterns of pass bands and stop bands) due to the presence of coupling joints in the metallic drill string. Practical pipes used for drilling deep wells have slight variation in length. The selection and arrangement of downhole ... View full abstract»

• A Novel Spatial–Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery

Publication Year: 2014, Page(s):7008 - 7022
Cited by:  Papers (16)
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In recent years, dimensionality reduction (DR) and classification have become important issues of hyperspectral image analysis. In this paper, we propose a new spatial-spectral similarity measure, which maps the distances between two image patches in hyperspectral images. Including spatial information by using the spatial neighbors, the proposed similarity measure is based on the fact that the obs... View full abstract»

• A Hybrid Object-Oriented Conditional Random Field Classification Framework for High Spatial Resolution Remote Sensing Imagery

Publication Year: 2014, Page(s):7023 - 7037
Cited by:  Papers (29)
| | PDF (2547 KB) | HTML

High spatial resolution (HSR) remote sensing imagery provides abundant geometric and detailed information, which is important for classification. In order to make full use of the spatial contextual information, object-oriented classification and pairwise conditional random fields (CRFs) are widely used. However, the segmentation scale choice is a challenging problem in object-oriented classificati... View full abstract»

• A Kurtosis-Based Approach to Detect RFI in SMOS Image Reconstruction Data Processor

Publication Year: 2014, Page(s):7038 - 7047
Cited by:  Papers (8)
| | PDF (2021 KB) | HTML

The Soil Moisture and Ocean Salinity (SMOS) mission is a European Space Agency project aimed to observe two important geophysical variables, i.e., soil moisture over land and ocean salinity by L-band microwave imaging radiometry. This work is concerned with the contamination of the SMOS data by radio-frequency interferences (RFIs), which degrades the performance of the mission. In this paper, we p... View full abstract»

Aims & Scope

IEEE Transactions on Geoscience and Remote Sensing (TGRS) s a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information. This journal publishes technical papers disclosing new and significant research.  The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Simon H. Yueh
Jet Propulsion Laboratory