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# IEEE Transactions on Geoscience and Remote Sensing

## Filter Results

Displaying Results 1 - 25 of 58
• ### Front Cover

Publication Year: 2018, Page(s): C1
| PDF (1115 KB)
• ### IEEE Transactions on Geoscience and Remote Sensing publication information

Publication Year: 2018, Page(s): C2
| PDF (120 KB)

Publication Year: 2018, Page(s):4235 - 4968
| PDF (200 KB)
• ### SAR Imagery for Detecting Sea Surface Slicks: Performance Assessment of Polarization-Dependent Parameters

Publication Year: 2018, Page(s):4237 - 4257
| | PDF (6637 KB)

Remote sensing technology is an essential link in the global monitoring of the ocean surface, and radars are efficient sensors for detecting marine pollution. When used operationally by authorities, a tradeoff must usually be made between the covered area and the quantity of information collected by the radar. To identify the most appropriate imaging mode, a methodology based on receiver operating... View full abstract»

• ### Mapping Urban Areas in China Using Multisource Data With a Novel Ensemble SVM Method

Publication Year: 2018, Page(s):4258 - 4273
| | PDF (12340 KB)

The mapping of urban areas at regional to global scales is a crucial task due to its value for environmental monitoring, habitat and biodiversity conservation, and decision-making. In most current applications, two techniques (i.e., supervised classification and data fusion) are widely applied in large-scale urban mapping. However, the costly training sample collection, inadequate data-source desc... View full abstract»

• ### Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Convolutional Neural Network

Publication Year: 2018, Page(s):4274 - 4288
| | PDF (9475 KB)

Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i.e., the data usability is greatly reduced. In this paper, a novel method of missing information reconstruction in remote sensing images is proposed. The unified spatial–temporal–spectral framework based... View full abstract»

• ### On the Generation of Gapless and Seamless Daily Surface Reflectance Data

Publication Year: 2018, Page(s):4289 - 4306
| | PDF (8849 KB)

The land surface reflectance data are indispensable to generate many other land products. Global land surface reflectance data have been routinely produced from remote sensing sensors aboard different satellite platforms. However, the original data, especially the daily data, suffer from a large number of spatial gaps, which result from atmospheric contamination and instrument deficiencies. This s... View full abstract»

• ### Spectral Transmittance of a Translucent Sand Sample With Directional Illumination

Publication Year: 2018, Page(s):4307 - 4317
| | PDF (3019 KB)

The nadir transmittance of sand samples was monitored as the illumination direction moved from 0° to 70°. Measurements were made for high- and low-density samples, at two depths and under both air-dry and saturated conditions. Transmittance decreased monotonically, but slowly, with increasing illumination angle at all wavelengths. A peak in transmittance appeared only at the 0°... View full abstract»

• ### A Geometry-Based Band Selection Approach for Hyperspectral Image Analysis

Publication Year: 2018, Page(s):4318 - 4333
| | PDF (1729 KB)

Band selection (BS) is a special case of the feature selection problem, and it tries to remove redundant bands and select a few informative and distinctive bands to represent the whole image cube. The maximum ellipsoid volume (MEV) method regards the band subset with the maximum volume as the optimal band combination. However, the MEV method cannot be directly applied for hyperspectral imagery due... View full abstract»

• ### Multispectral Satellite Image Denoising via Adaptive Cuckoo Search-Based Wiener Filter

Publication Year: 2018, Page(s):4334 - 4345
| | PDF (19754 KB) |  Media

Satellite image denoising is essential for enhancing the visual quality of images and for facilitating further image processing and analysis tasks. Designing of self-tunable 2-D finite-impulse response (FIR) filters attracted researchers to explore its usefulness in various domains. Furthermore, 2-D FIR Wiener filters which estimate the desired signal using its statistical parameters became a stan... View full abstract»

• ### Decolorization-Based Hyperspectral Image Visualization

Publication Year: 2018, Page(s):4346 - 4360
| | PDF (17164 KB)

Image decolorization is known to be an effective way in transferring a color image into a gray one while well preserving the major information of all three bands. In this paper, a simple yet effective hyperspectral image visualization framework based on decolorization, named decolorization based hyperspectral visualization, is proposed, which enables us to fully exploit the benefits of decolorizat... View full abstract»

• ### Generation of Highly Accurate DEMs Over Flat Areas by Means of Dual-Frequency and Dual-Baseline Airborne SAR Interferometry

Publication Year: 2018, Page(s):4361 - 4390
| | PDF (12671 KB)

In this paper, a dual-frequency and dual-baseline (DFDB) processing framework for the extraction of high-precision terrain information from airborne interferometric synthetic aperture radar (SAR) data is presented. Specifically, we propose the use of two single-pass data sets acquired simultaneously in two different frequency bands and two large-baseline repeat-pass data sets also acquired simulta... View full abstract»

• ### Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition

Publication Year: 2018, Page(s):4391 - 4405
| | PDF (8294 KB)

Anomaly detection has been known to be a challenging problem due to the uncertainty of anomaly and the interference of noise. In this paper, we focus on anomaly detection in hyperspectral images (HSIs) and propose a novel detection algorithm based on spectral unmixing and dictionary-based low-rank decomposition. The innovation is threefold. First, due to the highly mixed nature of pixels in HSI da... View full abstract»

• ### A Controlled Experiment on Oil Release Beneath Thin Sea Ice and Its Electromagnetic Detection

Publication Year: 2018, Page(s):4406 - 4419
| | PDF (9174 KB)

This paper presents a multidisciplinary research on the thermodynamic and geophysical effects of crude oil released underneath thin sea ice, and further evaluates the ability of a combined frequency- and time-domain approach toward its detection. To this end, a controlled oil release experiment in an artificially grown sea ice mesocosm was performed during the winter of 2017 at the Sea-Ice Researc... View full abstract»

• ### 3-D Deep Learning Approach for Remote Sensing Image Classification

Publication Year: 2018, Page(s):4420 - 4434
| | PDF (2930 KB)

Recently, a variety of approaches have been enriching the field of remote sensing (RS) image processing and analysis. Unfortunately, existing methods remain limited to the rich spatiospectral content of today’s large data sets. It would seem intriguing to resort to deep learning (DL)-based approaches at this stage with regard to their ability to offer accurate semantic interpretation of the... View full abstract»

• ### Guided Locality Preserving Feature Matching for Remote Sensing Image Registration

Publication Year: 2018, Page(s):4435 - 4447
| | PDF (8682 KB)

Feature matching, which refers to establishing reliable correspondences between two sets of feature points, is a critical prerequisite in feature-based image registration. This paper proposes a simple yet surprisingly effective approach, termed as guided locality preserving matching, for robust feature matching of remote sensing images. The key idea of our approach is merely to preserve the neighb... View full abstract»

• ### Simultaneous Range and Cross-Range Variant Phase Error Estimation and Compensation for Highly Squinted SAR Imaging

Publication Year: 2018, Page(s):4448 - 4463
| | PDF (29235 KB)

This paper addresses an autofocusing technique for highly squinted airborne synthetic aperture radar (SAR) imaging. In highly squinted mode, the phase errors resulting by trajectory deviations usually exhibit both range and cross-range variance. To circumvent this problem, a 2-D space-variant phase error model is proposed. Then an autofocusing approach is presented to realize precise SAR reconstru... View full abstract»

• ### Gap Filling of Missing Data for VIIRS Global Ocean Color Products Using the DINEOF Method

Publication Year: 2018, Page(s):4464 - 4476
| | PDF (7581 KB)

Ocean color data are critical for the monitoring and understanding of biological and ecological processes and phenomena, and the data are also important sources of input data for physical and biogeochemical ocean models. The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership has continued to provide global ocean color data since its launch in Oc... View full abstract»

• ### An Improved Phase Filter for Differential SAR Interferometry Based on an Iterative Method

Publication Year: 2018, Page(s):4477 - 4491
| | PDF (30721 KB)

Phase quality is a key element in the analysis of the deformation of the Earth’s surface carried out with differential synthetic aperture radar interferometry. Various decorrelation sources may degrade the surface deformation estimates, and thus, phase filters are needed for this kind of application. The well-known Goldstein filter is the most widely used due to its simple implementation an... View full abstract»

• ### InSAR Time Series Analysis of L-Band Wide-Swath SAR Data Acquired by ALOS-2

Publication Year: 2018, Page(s):4492 - 4506
| | PDF (9874 KB)

Operating at L-band (~24 cm wavelength) in wide-swath modes is one of the characteristics of the new and next generation satellite synthetic aperture radar (SAR) missions. After 3 years of operation, the Japan Aerospace Exploration Agency Advanced Land Observing Satellite-2 (ALOS-2) satellite has acquired a wealth of L-band wide-swath SAR data over many areas using its ScanSAR mode. We pres... View full abstract»

• ### VPRS-Based Regional Decision Fusion of CNN and MRF Classifications for Very Fine Resolution Remotely Sensed Images

Publication Year: 2018, Page(s):4507 - 4521
| | PDF (16044 KB)

Recent advances in computer vision and pattern recognition have demonstrated the superiority of deep neural networks using spatial feature representation, such as convolutional neural networks (CNNs), for image classification. However, any classifier, regardless of its model structure (deep or shallow), involves prediction uncertainty when classifying spatially and spectrally complicated very fine... View full abstract»

• ### Toward the Operational Weather Forecasting Application of Atmospheric Stability Products Derived From NUCAPS CrIS/ATMS Soundings

Publication Year: 2018, Page(s):4522 - 4545
| | PDF (12827 KB)

Atmospheric soundings from radiosondes are critical for the weather forecasting, particularly for the diagnostic of atmospheric stability conditions that can lead to thunderstorm development. However, radiosonde observations (RAOBs) are temporally and spatially limited throughout the globe, promoting the use of satellite measurements. This paper assesses the applicability to the operational short-... View full abstract»

• ### Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of $In Situ$ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations

Publication Year: 2018, Page(s):4546 - 4558
| | PDF (2444 KB)

Together with the continuous development of passive microwave surface soil moisture (SSM) products from newly launched satellites, it is necessary to perform reliable validations to assess their accuracy. With this aim, a new “bottom-up” validation approach is proposed based on the synergistic use of in situ SSM measurements from the soil moisture measurement station network (REMEDHU... View full abstract»

• ### Airborne Remote Sensing of Surface Velocities in a Tidal River

Publication Year: 2018, Page(s):4559 - 4567
| | PDF (7575 KB)

The global optimal solution (GOS) has proven to be very accurate for deriving water surface velocities from contemporaneous image pairs, but previous studies have used shore-based radars or satellite measurements with resolutions on the order of a kilometer or tens of meters to establish this. In contrast, the objective of this paper is to derive a GOS velocity field from infrared (IR) (3–5... View full abstract»

• ### High-Resolution Sparse Subband Imaging Based on Bayesian Learning With Hierarchical Priors

Publication Year: 2018, Page(s):4568 - 4580
| | PDF (1760 KB)

To obtain higher range resolution without incurring significant hardware costs, this paper proposes a novel method for high-resolution sparse subband imaging based on Bayesian learning. The signal model is derived and a probabilistic model is constructed. In particular, hierarchical sparse-promoting priors are imposed on the distribution of scattering centers, which is conjugate to the likelihood ... 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