IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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• Front cover

Publication Year: 2012, Page(s): C1
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• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing publication information

Publication Year: 2012, Page(s): C2
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Publication Year: 2012, Page(s):1069 - 1070
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• Foreword to the Special Issue on Human Settlement Monitoring Using Multiple Earth Observation Data

Publication Year: 2012, Page(s):1071 - 1075
Cited by:  Papers (3)
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• Fusion of Difference Images for Change Detection Over Urban Areas

Publication Year: 2012, Page(s):1076 - 1086
Cited by:  Papers (37)  |  Patents (1)
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As a result of urbanization, land use/land cover classes in urban areas are changing rapidly, and this trend increased in the recent years. Change information detected from multi-temporal remote sensing images can thus help to understand urban development and to effectively support urban planning. Differences in reflectance spectra, easily obtained by multi-temporal remote sensing images, are impo... View full abstract»

• Multitemporal Spaceborne SAR Data for Urban Change Detection in China

Publication Year: 2012, Page(s):1087 - 1094
Cited by:  Papers (48)
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The objective of this research is to examine effective methods for urban change detection using multitemporal spaceborne SAR data in two rapid expanding cities in China. One scene of ERS-2 SAR C-VV image was acquired in Beijing in 1998 and in shanghai in 1999 respectively and one scene of ENVISAT ASAR C-VV image was acquired in near-anniversary dates in 2008 in Beijing and Shanghai. To compare the... View full abstract»

• Statistical Wavelet Subband Modeling for Multi-Temporal SAR Change Detection

Publication Year: 2012, Page(s):1095 - 1109
Cited by:  Papers (17)
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In the context of multi-temporal SAR change detection for earth monitoring applications, one critical issue is to generate accurate change map. A common method to generate change map is to apply logarithm to the ratio image. However, due to the speckle effect and without consideration of contextual information, it is usually not efficient for accurate change detection. In this paper, an unsupervis... View full abstract»

• SAR-Based Seismic Damage Assessment in Urban Areas: Scaling Down Resolution, Scaling Up Computational Performance

Publication Year: 2012, Page(s):1110 - 1117
Cited by:  Papers (10)
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Earth Observation (EO) is becoming increasingly important in the support operations after a destructive event, as an earthquake can be. Remote sensing is proving to be very useful for identifying damage and planning support activities. Although the use of optical data because of easier visual interpretation is preferred-where possible-radar sensors can be a valuable tool for damage detection due t... View full abstract»

• Combined Edge Segment Texture Analysis for the Detection of Damaged Buildings in Crisis Areas

Publication Year: 2012, Page(s):1118 - 1128
Cited by:  Papers (10)
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This paper describes the results of a new combined method that consists of a cooperative approach of several different algorithms for automated change detection. These methods are based on isotropic frequency filtering, spectral and texture analysis, and segmentation. For the frequency analysis, different band pass filters are applied to identify the relevant frequency information for change detec... View full abstract»

• An Adaptive Contextual SEM Algorithm for Urban Land Cover Mapping Using Multitemporal High-Resolution Polarimetric SAR Data

Publication Year: 2012, Page(s):1129 - 1139
Cited by:  Papers (21)
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This paper presents a semi-supervised Stochastic Expectation-Maximization (SEM) algorithm for detailed urban land cover mapping using multitemporal high-resolution polarimetric SAR (PolSAR) data. By applying an adaptive Markov Random Field (MRF) with the spatially variant Finite Mixture Model (SVFMM), spatial-temporal contextual information could be effectively explored to improve the mapping accu... View full abstract»

• SAR Data Classification of Urban Areas by Means of Segmentation Techniques and Ancillary Optical Data

Publication Year: 2012, Page(s):1140 - 1148
Cited by:  Papers (24)
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The classification of urban areas in terms of land-use/land-cover (LULC) maps is a challenging as well as essential task in order to monitor how the urban sprawl is changing the environment. This paper is devoted to the description of a novel procedure designed to exploit coarse-resolution SAR images and obtain both the built-up area extents and a LULC map of the individuated urban area. The appro... View full abstract»

• On Single-Look Multivariate ${cal G}$ Distribution for PolSAR Data

Publication Year: 2012, Page(s):1149 - 1163
Cited by:  Papers (15)
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For many applications where High Resolution (HR) Synthetic Aperture Radar (SAR) images are required, like urban structures detection, road map detection, marine structures and ship detection etc., single-look processing of SAR images may be desirable. The G family of distributions have been known to fit homogeneous to extremely heterogeneous Polarimetric SAR (PolSAR) data very well and can be very... View full abstract»

• Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape

Publication Year: 2012, Page(s):1164 - 1176
Cited by:  Papers (34)
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The high rate of global urbanization has resulted in a rapid increase in informal settlements, which can be defined as unplanned, unauthorized, and/or unstructured housing. Techniques for efficiently mapping these settlement boundaries can benefit various decision making bodies. From a remote sensing perspective, informal settlements share unique spatial characteristics that distinguish them from ... View full abstract»

• Classification of Hyperspectral Data Over Urban Areas Using Directional Morphological Profiles and Semi-Supervised Feature Extraction

Publication Year: 2012, Page(s):1177 - 1190
Cited by:  Papers (43)
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When using morphological features for the classification of high resolution hyperspectral images from urban areas, one should consider two important issues. The first one is that classical morphological openings and closings degrade the object boundaries and deform the object shapes. Morphological openings and closings by reconstruction can avoid this problem, but this process leads to some undesi... View full abstract»

• Classification of Local Climate Zones Based on Multiple Earth Observation Data

Publication Year: 2012, Page(s):1191 - 1202
Cited by:  Papers (43)
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Considerable progress was recently made in the determination of urban morphologies or structural types from different Earth observation (EO) datasets. A relevant field of application for such methods is urban climatology, since specific urban morphologies produce distinct microclimates. However, application and comparability are so far limited by the variety of typologies used for the description ... View full abstract»

• SVM Selective Fusion (SELF) for Multi-Source Classification of Structurally Complex Tropical Rainforest

Publication Year: 2012, Page(s):1203 - 1212
Cited by:  Papers (12)
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Accuracy of land cover classification is generally improved by inputting multi-sensory and GIS data since complex vegetation type identification benefits from synergism of complementary information. However, multi-source fusion can also deteriorate accuracy when some classes do not benefit from all sources. On the basis of this premise, we introduce a Selective Fusion (SELF) scheme based on Suppor... View full abstract»

• Underwater Target Detection With Hyperspectral Data: Solutions for Both Known and Unknown Water Quality

Publication Year: 2012, Page(s):1213 - 1221
Cited by:  Papers (13)
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In this paper, we present various bathymetric filters, based on the well-known matched filter (MF), adaptive MF, and adaptive cosine/coherence estimator detectors, for underwater target detection from hyperspectral remote-sensing data. In the case of unknown water characteristics, we also propose the GLRT-based bathymetric filter, which is a generalized likelihood ratio test-based filter that esti... View full abstract»

• Inversion of a Radiative Transfer Model for Estimation of Rice Canopy Chlorophyll Content Using a Lookup-Table Approach

Publication Year: 2012, Page(s):1222 - 1230
Cited by:  Papers (29)
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Optical remote sensing provides information on important vegetation variables such as leaf area index (LAI), biomass, and chlorophyll content. In this study, rice crops, which are rarely studied, were selected because of their high economic importance and the role they play in food security in the study area. The aim was to obtain a reliable estimate of canopy chlorophyll content as an important i... View full abstract»

• A Statistical Approach for Automatic Detection of Ocean Disturbance Features From SAR Images

Publication Year: 2012, Page(s):1231 - 1242
Cited by:  Papers (11)  |  Patents (1)
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Extraction of features from images has been a goal of researchers since the early days of remote sensing. This paper presents a statistical approach to detect dark curvilinear features due to ocean disturbances caused by wind, movements of surface or underwater objects, and oil spill from SAR images. The image is first enhanced to emphasize the dark curvilinear features using a statistical approac... View full abstract»

• Analysis of the Spatio-Temporal Patterns of Water Pollution and Source Contribution Using the MODIS Sensor Products and Multivariate Statistical Techniques

Publication Year: 2012, Page(s):1243 - 1255
Cited by:  Papers (5)
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Analysis of the spatio-temporal patterns and source apportionment of water pollution is important for proper management and protection of water resources. In this paper, different multivariate statistical methods were used to explore the spatio-temporal patterns of water pollution, and quantitative relationships between the important pollution parameters and environmental variables. Eleven signifi... View full abstract»

• Improved GPU/CUDA Based Parallel Weather and Research Forecast (WRF) Single Moment 5-Class (WSM5) Cloud Microphysics

Publication Year: 2012, Page(s):1256 - 1265
Cited by:  Papers (21)
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The Weather Research and Forecasting (WRF) model is an atmospheric simulation system which is designed for both operational and research use. WRF is currently in operational use at the National Oceanic and Atmospheric Administration (NOAA)'s national weather service as well as at the air force weather agency and meteorological services worldwide. Getting weather predictions in time using latest ad... View full abstract»

• Satellites Capture the Drought Severity Around China's Largest Freshwater Lake

Publication Year: 2012, Page(s):1266 - 1271
Cited by:  Papers (23)
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A severe drought occurred in the region of Poyang Lake, the largest freshwater lake in China in early 2011, causing various environmental problems and posing a significant threat to local animals and humans. The event has caught extensive attention from many environmental groups as well as from national and international news media. Yet there has been no quantitative report on the severity of the ... View full abstract»

• Learning Based Compressed Sensing for SAR Image Super-Resolution

Publication Year: 2012, Page(s):1272 - 1281
Cited by:  Papers (17)
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This paper presents a novel approach for the reconstruction of super-resolution (SR) synthetic aperture radar (SAR) images in the compressed sensing (CS) theory framework. Recent research has shown that super-resolved data can be reconstructed from an extremely small set of measurements compared to that currently required. Therefore, a CS to produce SAR super-resolution images is introduced in the... View full abstract»

• Spectral Unmixing Cluster Validity Index for Multiple Sets of Endmembers

Publication Year: 2012, Page(s):1282 - 1295
Cited by:  Papers (10)
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A hyperspectral pixel is generally composed of a relatively small number of endmembers. Several unmixing methods have been developed to enforce this concept through sparsity promotion or piece-wise convex mixing models. Piece-wise convex unmixing methods often require as parameters the number of endmembers and the number of sets of endmembers needed. However, these values are often unknown in adva... View full abstract»

• Object-Based Shadow Extraction and Correction of High-Resolution Optical Satellite Images

Publication Year: 2012, Page(s):1296 - 1302
Cited by:  Papers (21)
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Shadows in remote sensing images often cause problems, especially in land-cover classification and change detection. Hence, it is very useful if the radiance of shadow areas is corrected to the same level as that of shadow-free areas. In this study, a radiance measurement was carried out to investigate the spectral characteristics of sunlight. Then a method is proposed for shadow detection and cor... View full abstract»

Aims & Scope

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Qian (Jenny) Du
Mississippi State University