# IEEE Transactions on Geoscience and Remote Sensing

### Early Access Articles

Early Access articles are made available in advance of the final electronic or print versions. Early Access articles are peer reviewed but may not be fully edited. They are fully citable from the moment they appear in IEEE Xplore.

## Filter Results

Displaying Results 1 - 25 of 249
• ### Aqua MODIS Electronic Crosstalk Survey: Mid-Wave Infrared Bands

Publication Year: 2018, Page(s):1 - 14
| | PDF (43841 KB)

The Moderate Resolution Imaging Spectroradiometer (MODIS) on board NASA's Aqua polar-orbiting satellite has long been known to be subjected to electronic crosstalk. Its signatures are clearly visible in images of the lunar disk by various bands, which are routinely obtained during scheduled roll maneuvers. Electronic crosstalk can potentially impact Level 1B products, causing image artifacts such ... View full abstract»

• ### Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization

Publication Year: 2018, Page(s):1 - 17
| | PDF (9729 KB)

Hyperspectral unmixing decomposes a hyperspectral imagery (HSI) into a number of constituent materials and associated proportions. Recently, nonnegative tensor factorization (NTF)-based methods have been proposed for hyperspectral unmixing thanks to their capability in representing an HSI without any information loss. However, tensor factorization-based HSI processing approaches often suffer from ... View full abstract»

• ### The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning

Publication Year: 2018, Page(s):1 - 13
| | PDF (6397 KB)

The Soil Moisture Active Passive (SMAP) mission measures important soil moisture data globally. SMAP's products might not always perform better than land surface models (LSM) when evaluated against in situ measurements. However, we hypothesize that SMAP presents added value for long-term soil moisture estimation in a data fusion setting as evaluated by in situ data. Here, with the help of a time s... View full abstract»

• ### Hybrid-Sparsity Constrained Dictionary Learning for Iterative Deblending of Extremely Noisy Simultaneous-Source Data

Publication Year: 2018, Page(s):1 - 14
| | PDF (7130 KB)

Simultaneous-source acquisition, breaking the limit of conventional seismic acquisition, is a rapidly evolving research field, due to its advantage in reducing survey time and improving data quality. The benefits of simultaneous-source acquisition are compromised by the intense blending interference. Separating a blended record into a group of individual records, known as deblending'' is one of ... View full abstract»

• ### Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification

Publication Year: 2018, Page(s):1 - 12
| | PDF (5442 KB)

Mislabeled training samples may have a negative effect on the performance of hyperspectral image classification. In order to solve this problem, a new density peak (DP) clustering-based noisy label detection method is proposed, which consists of the following steps. First, the distances among the training samples of each class are calculated using four representative distance metrics, i.e., the Eu... View full abstract»

• ### Marine Oil Slicks Quantification From L-band Dual-Polarization SAR Imagery

Publication Year: 2018, Page(s):1 - 11
| | PDF (8049 KB)

We show, using simple physical models, that a quantitative estimation of the volume fraction of marine oil slicks can be achieved from dual-polarization synthetic aperture radar (SAR) imagery. Volume fraction, which quantifies the proportion of seawater in oil in the case of a mixture, depends primarily on volume scattering mechanisms and is inferred from the polarization ratio in the L-band. A qu... View full abstract»

• ### Modeling Multifrequency Pol-InSAR Data From the Percolation Zone of the Greenland Ice Sheet

Publication Year: 2018, Page(s):1 - 14
| | PDF (17245 KB)

The analysis of data from an airborne synthetic aperture radar (SAR) campaign in the percolation zone of Greenland revealed an interferometric coherence undulation behavior with respect to vertical wavenumber, which cannot be explained with existing models. We propose a model extension that accounts for scattering from distinct layers below the surface. Simulations show that the periodicity of the... View full abstract»

• ### Sparsity Optimization Method for Slow-Moving Landslides Detection in Satellite Image Time-Series

Publication Year: 2018, Page(s):1 - 12
| | PDF (3770 KB)

This paper presents a new method based on recent optimization technique to detect slow-moving landslides (<150m/year) in time series of displacement field generated by satellite images. Sparse optimization is applied simultaneously on the 3-D data set in space as well as in time. The proposed method takes into account the distinctive signal physical properties in space and time, by enforcing a ... View full abstract»

• ### Incorporating Full Attenuation Mechanisms of Poroelastic Media for Realistic Subsurface Sensing

Publication Year: 2018, Page(s):1 - 10
| | PDF (2636 KB)

Porous materials are ubiquitous in the subsurface formations of the earth where acoustic and seismic waves are used for remote sensing. However, it is not well understood how the dissipation and the dispersion of poroelastic waves are caused by the viscoelastic and viscous properties of the constituents such as solid grains and pore fluid and by the viscoelastic dissipation of the solid frame, as ... View full abstract»

• ### MIMO Ground Penetrating Radar Imaging Through Multilayered Subsurface Using Total Variation Minimization

Publication Year: 2018, Page(s):1 - 9
| | PDF (2219 KB)

In most of the existing ground penetrating radar (GPR) imaging algorithms, using either full or sparse data collection, the ground is modeled as a single half-space layer. In this paper, a generalized sparse imaging approach with total variation minimization (TVM) for multiple-input multiple-output (MIMO) GPR imaging through multilayered subsurface is proposed. The multilayered media Green's funct... View full abstract»

• ### Azimuth Signal Multichannel Reconstruction and Channel Configuration Design for Geosynchronous Spaceborne-Airborne Bistatic SAR

Publication Year: 2018, Page(s):1 - 12
| | PDF (4491 KB)

In geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO-BiSAR) system, the airborne platform achieves high-resolution imaging by passively receiving the signal from the interested scenario. In this paper, the Doppler characteristics of GEO-BiSAR and the individual contribution of the transmitter and the receiver are first analyzed. The airborne receiver is found to be the domi... View full abstract»

• ### Illumination-Robust Subpixel Fourier-Based Image Correlation Methods Based on Phase Congruency

Publication Year: 2018, Page(s):1 - 14
| | PDF (12698 KB)

The Fourier-based image correlation technique has been widely concerned due to its accuracy, efficiency, and robustness to image contrast and brightness. Accordingly, a variety of subpixel methods have been proposed. However, the detailed subpixel-level influence of the complicated radiometric variations has yet to be investigated, and few corresponding improvements have been made. This paper pres... View full abstract»

• ### A Sensitivity Analysis of the Standard Deviation of the Copolarized Phase Difference for Sea Oil Slick Observation

Publication Year: 2018, Page(s):1 - 9
| | PDF (4329 KB)

In this paper, a time series of 33 TerraSAR-X copolarized synthetic aperture radar (SAR) imagery collected in Stripmap mode over the Gulf of Mexico in a wide range of incidence angles and sea-state condition is exploited, together with a theoretical framework based on the X-Bragg scattering model, to analyze the effects of noise, angle of incidence, (AOI) and wind speed on the standard deviation o... View full abstract»

• ### Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks

Publication Year: 2018, Page(s):1 - 17
| | PDF (22483 KB)

This paper addresses the highly challenging problem of automatically detecting man-made structures especially buildings in very high-resolution (VHR) synthetic aperture radar (SAR) images. In this context, this paper has two major contributions. First, it presents a novel and generic workflow that initially classifies the spaceborne SAR tomography (TomoSAR) point clouds--generated by processing VH... View full abstract»

• ### Improving the Calibration of Suomi NPP VIIRS Thermal Emissive Bands During Blackbody Warm-Up/Cool-Down

Publication Year: 2018, Page(s):1 - 18
| | PDF (8121 KB)

The Suomi National Polar-orbiting Partnership Program Visible Infrared Imaging Radiometer Suite (VIIRS) thermal emissive bands (TEB) have been performing well during nominal operations since launch. However, small but persistent calibration anomalies are observed in all TEBs during the quarterly blackbody (BB) warm-up/cool-down (WUCD) events. As a result, the time series of daytime sea surface tem... View full abstract»

• ### A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification

Publication Year: 2018, Page(s):1 - 17
| | PDF (7817 KB)

Aiming at improving the classification accuracy with limited numbers of labeled pixels in polarimetric synthetic aperture radar (PolSAR) image classification task, this paper presents a graph-based semisupervised deep learning model for PolSAR image classification. It models the PolSAR image as an undirected graph, where the nodes correspond to the labeled and unlabeled pixels, and the weighted ed... View full abstract»

• ### Joint Petrophysical and Structural Inversion of Electromagnetic and Seismic Data Based on Volume Integral Equation Method

Publication Year: 2018, Page(s):1 - 12
| | PDF (1825 KB)

A joint petrophysical and structural inversion method for electromagnetic (EM) and seismic data based on the volume integral equation (VIE) is proposed in this paper. In the forward EM problem, only the contrast of conductivity is solved by the electric field integral equation method. However, in the forward seismic problem, both the contrasts of velocity and mass density are solved by the combine... View full abstract»

• ### Partially Asynchronous Distributed Unmixing of Hyperspectral Images

Publication Year: 2018, Page(s):1 - 13
| | PDF (5390 KB)

So far, the problem of unmixing large or multitemporal hyperspectral data sets has been specifically addressed in the remote sensing literature only by a few dedicated strategies. Among them, some attempts have been made within a distributed estimation framework, in particular, relying on the alternating direction method of multipliers. In this paper, we propose to study the interest of a partiall... View full abstract»

• ### Remote Sensing Image Scene Classification Using Rearranged Local Features

Publication Year: 2018, Page(s):1 - 14
| | PDF (7382 KB)

Remote sensing image scene classification is a fundamental problem, which aims to label an image with a specific semantic category automatically. Recently, deep learning methods have achieved competitive performance for remote sensing image scene classification, especially the methods based on a convolutional neural network (CNN). However, most of the existing CNN methods only use feature vectors ... View full abstract»

• ### Gauge-Adjusted Global Satellite Mapping of Precipitation

Publication Year: 2018, Page(s):1 - 8
| | PDF (4080 KB)

A rain-gauge-adjusted algorithm for global satellite mapping of precipitation (GSMaP) that estimates the surface precipitation rate with resolutions of 0.1° and 1 h over the globe is described herein. Precipitation is one of the most important parameters of the earth's system, and its global distribution and changes are essential data for modeling the water cycle, maintaining ecosystems, increasin... View full abstract»

• ### Snow Depth Estimation Based on Combination of Pseudorange and Carrier Phase of GNSS Dual-Frequency Signals

Publication Year: 2018, Page(s):1 - 12
| | PDF (20441 KB)

Global navigation satellite system reflectometry (GNSS-R) is a new remote sensing technique, which can be used to measure a wide range of geophysical parameters. GNSS-R makes use of the simultaneous reception of the direct transmission and the coherent surface reflections of the GNSS signal with either a single antenna or multiple separate antennas. This paper presents a new snow depth estimation ... View full abstract»

• ### Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection

Publication Year: 2018, Page(s):1 - 18
| | PDF (6044 KB)

Band selection is an effective approach to mitigate the Hughes phenomenon'' of hyperspectral image (HSI) classification. Recently, sparse representation (SR) theory has been successfully introduced to HSI band selection, and many SR-based methods have been developed and shown great potential and superiority. However, due to the inherent limitations of the SR scheme, i.e., individually representi... View full abstract»

• ### Suomi-NPP OMPS Nadir Mapper's Operational SDR Performance

Publication Year: 2018, Page(s):1 - 10
| | PDF (2916 KB)

The ozone mapping and profiler suite (OMPS) is carried onboard the Suomi National Polar-orbiting Partnership satellite that was launched on October 28, 2011. The OMPS mission objectives concern atmospheric ozone concentrations and their variations in the earth atmosphere. A successful thorough on-orbit sensor calibration enabled current validated operational sensor data record (SDR) stage, providi... View full abstract»

• ### Micro-Doppler Ambiguity Resolution With Variable Shrinkage Ratio Based on Time-Delayed Cross Correlation Processing for Wideband Radar

Publication Year: 2018, Page(s):1 - 12
| | PDF (10872 KB)

Vibration or rotation on a target or any structure of a target might induce a frequency modulation on the returned radar signal, which is called micro-Doppler effect, and is widely used for many of the remote sensing applications such as target detection, classification, and recognition. However, the micro-Doppler frequency could be large and it may cause micro-Doppler ambiguities which are undesi... View full abstract»

• ### Independent Assessment of On-Board Microwave Radiometer Measurements in Coastal Zones Using Tropospheric Delays From GNSS

Publication Year: 2018, Page(s):1 - 13
| | PDF (7158 KB)

Zenith tropospheric delays (ZTDs) computed at a network of 60 global navigation satellite system (GNSS) stations have been used to assess microwave radiometer (MWR) measurements from eight altimeter missions in coastal zones, where some of these observations become invalid. Results show that ZTDs are determined with an accuracy of a few millimeters; however, jumps are detected in some stations in ... 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