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  • Articles  (348)
  • 2010-2014  (348)
  • 2013  (348)
  • Geosciences  (348)
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  • 2010-2014  (348)
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  • 1
    Publication Date: 2013-12-14
    Description: Circular or directional data are used in disciplines such as meteorology, geomatics, biology, and geology. The analysis of angular data requires special methods that are available in some statistical packages. However, these tools analyze only the angular values and do not include the vector modules, assuming unit vectors in all cases. In this letter, an open-source graphic and statistical package, i.e., VecStatGraphs2D, is described. It works in the R environment and provides statistics and graphics for modules (linear) and azimuths (circular), as well as graphics for the joint analysis of modules and azimuths. QuikSCAT satellite wind data are used to demonstrate some features of the package. QuikSCAT data are non-unit-length vectors, where both azimuth and magnitude (speed) are derived from $u$ and $v$ vector components (vector projections over the $x$ - and $y$ -axes). The example is used to show the seasonal change of winds in the Intertropical Convergence Zone, a key area in the ocean bird migration from the North to South Atlantic oceans.
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  • 2
    Publication Date: 2013-12-14
    Description: The greatest changes in elevation in Greenland and Antarctica are happening along the margins of the ice sheets where the surface frequently has significant slopes. For this reason, the upcoming Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) mission utilizes pairs of laser altimeter beams that are perpendicular to the flight direction in order to extract slope information in addition to elevation. The Multiple Altimeter Beam Experimental Lidar (MABEL) is a high-altitude airborne laser altimeter designed as a simulator for ICESat-2. The MABEL design uses multiple beams at fixed angles and allows for local slope determination. Here, we present local slopes as determined by MABEL and compare them to those determined by the Airborne Topographic Mapper (ATM) over the same flight lines in Greenland. We make these comparisons with consideration for the planned ICESat-2 beam geometry. Results indicate that the mean slope residuals between MABEL and ATM remain small ( $〈$ 0.05 $^{circ}$ ) through a wide range of localized slopes using ICESat-2 beam geometry. Furthermore, when MABEL data are subsampled by a factor of 4 to mimic the planned ICESat-2 transmit-energy configuration, the results are indistinguishable from the full-data-rate analysis. Results from MABEL suggest that ICESat-2 beam geometry and transmit-energy configuration are appropriate for the determination of slope on $sim$ 90-m spatial scales, a measurement that will be fundamental to deconvolving the effects of surface slope from the ice-sheet surface change derived from ICESat-2.
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  • 3
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: This letter presents a novel spatial features extraction method for the high spatial resolution multispectral imagery (HSRMI) classification. First, Canny filter algorithm is applied to extract the edge information to obtain the fuzzy edge map. Secondly, adaptive threshold value for each pixel's homogeneous region (PHR) calculation is determined based on the fuzzy edge map and original image. Next, the PHR for every pixel is obtained based on the fuzzy edge map, adaptive threshold value and original image. And then, the pixel shape feature set (PSFS) is extracted based on the PHR. Lastly, SVM classifier is applied to classify the hybrid spectral and PSFS. Two different experiments were performed to evaluate the performance of PSFS, in comparison with spectral, gray level co-occurrence matrix (GLCM) and the existing pixel shape index (PSI). Experimental results indicate that the PSFS achieved the highest accuracy, hence, providing an effective spectral–spatial classification method for the HSRMI.
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  • 4
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: This letter is dedicated to a generic approach for the automated detection and classification of man-made objects in urban corridors from point clouds acquired by vehicle-borne mobile laser scanning (MLS). The approach is designed based on a priori knowledge in urban areas: 1) man-made objects feature geometric regularity such as vertical planar structures (e.g., building facades), whereas vegetation reveals huge diversity in shape and point distribution and 2) different types of urban man-made objects can be characterized by the point extension and the height above the ground level. Therefore, MLS-based point clouds are first divided into three layers with respect to the vertical height. In each layer, seed points of man-made objects are indicated by a line filter in the footprints of off-ground objects, which is generated by binarizing the spatial accumulation map of the point clouds. These seed points are further classified by examining in which layers the seed points of objects are found. Finally, points belonging to respective objects can be retrieved based on the classified seed points. The experiments show that various man-made objects on both sides of the street can be well detected, with a detection rate of up to 83%. For the classification of detected urban objects, overall accuracy of 92.37% can be achieved.
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  • 5
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: Ocean color continuity calls for consistent observations from multiple sensors in order to establish a seamless data record to address earth science questions. Currently, both Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Terra and Aqua satellites are being operated well beyond their designed five-year mission life, and they have shown signs of sensor degradation. It is thus urgent to evaluate whether the most recently launched Visible Infrared Imager Radiometer Suite (VIIRS) instrument (2011 to present) can provide consistent observations should MODIS instruments stop functioning. In this study, the consistency between MODIS/Aqua and VIIRS measurements over the Tampa Bay estuary $(sim!!1000 hbox{km}^{2})$ is assessed for remote sensing reflectance (Rrs, $hbox{sr}^{ - 1}$ ), chlorophyll-a concentrations (Chla, $ hbox{mg}cdothbox{m}^{ - 3}$ ), and absorption coefficient of colored dissolved organic matter $(a_{rm g}(443), hbox{m}^{ - 1})$ . While Rrs was derived as a standard National Aeronautics and Space Administration product from the SeaDAS software package (reprocessing version R2013.0), Chla and $a_{rm g}(443)$ were estimated using the recently developed regional algorithms for Tampa Bay. Time-series analysis and statistics both showed that the two sensors provided consistent measurements for most products evaluated, with unbiased mean percentage differences of $〈$ 25% and mean annual biases within $-$ 9% (except for one of the eight cases) for large dynamic ranges i- Chla (1.0–20 $hbox{mg}cdot hbox{m}^{ - 3}$ ) and $a_{rm g}(443)$ (0.1–1.5 $hbox{m}^{ - 1}$ ) in all four bay segments. These estimates are comparable or better than those derived from satellite—in situ comparisons, suggesting that VIIRS will provide observations consistent with MODIS, ensuring ocean color continuity and seamless data records for Tampa Bay. Such observations are crucial in establishing a long-term satellite-based water quality decision matrix for Tampa Bay.
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  • 6
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: In this letter, a novel maximum a posteriori (MAP) filter for synthetic aperture radar (SAR) images is developed. We characterize the return signal of SAR using the Cauchy-Rayleigh mixture model, which is an approximation to the heavy-tailed Rayleigh distribution. The parameters of the Cauchy–Rayleigh mixture model are estimated from the noisy observation by using the expectation–maximization algorithm. Finally, we compare the proposed filter with several classical spatial filtering techniques by applying them on simulated data and various real SAR images. Experimental results show that the Cauchy–Rayleigh-mixture-based MAP filter performs better for speckle removal than the other methods, including Lee, Kuan, and $Gamma$ -MAP.
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  • 7
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: Spectral unmixing amounts to automatically finding the signatures of pure spectral components (called endmembers in the hyperspectral imaging literature) and their associated abundance fractions in each pixel of the hyperspectral image. Many algorithms have been proposed to automatically find spectral endmembers in hyperspectral data sets. Perhaps one of the most popular ones is the pixel purity index (PPI), which is available in the ENVI software from Exelis Visual Information Solutions. This algorithm identifies the endmembers as the pixels with maxima projection values after projections onto a large randomly generated set of random vectors (called skewers). Although the algorithm has been widely used in the spectral unmixing community, it is highly time consuming as its precision asymptotically increases. Due to its high computational complexity, the PPI algorithm has been recently implemented in several high-performance computing architectures, including commodity clusters, heterogeneous and distributed systems, field programmable gate arrays, and graphics processing units (GPUs). In this letter, we present an improved GPU implementation of the PPI algorithm, which provides real-time performance for the first time in the literature.
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  • 8
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: This letter describes a general solution to the parallax correction issue concerning the collocation of measurements of the same object from different satellites that use different viewing geometries. Two examples in cloud remote sensing are described with case studies. The applicability of the parallax correction is also discussed. Correct collocation of data collected by multiple satellites is needed in order to avoid introducing incorrect information in the data fusion of multiple sensors on different satellite platforms.
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  • 9
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: Land surfaces are commonly obstructed by haze in remote sensing images, which reduces the available land cover information. Haze detection is therefore important for locating, avoiding, or restoring hazy regions. In this letter, a principal component (PC)-based haze masking (PCHM) method is developed for the masking of haze in visible remote sensing images covering land surfaces at middle latitudes. Owing to the evidence of haze in the second PC, the PCHM method results in accurate haze masks. The complete procedure comprises two steps: haze construction and spatial optimization. The validity of the PCHM method is demonstrated through its application to several hazy visible images clipped from Landsat Enhanced Thematic Mapper Plus scenes. The quantitative assessments verify the superiority of the proposed method over the haze optimized transformation method for the production of binary haze masks. In addition, the resulting haze masks are compared with a MODIS cloud product, which further proves the necessity and validity of the proposed method.
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  • 10
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2013-12-14
    Description: In this letter, we present a novel approach for spectral–spatial classification in hyperspectral imagery. After applying principal component (PC) analysis for dimensionality reduction, we extract the spectral–spatial information by first reorganizing the local image patch with the first $d$ PCs into a vector representation, followed by a sorting scheme to make the vector invariant to local image rotation. Since no additional operation except sorting the pixels is required, this step is performed efficiently. Afterward, the resulting feature descriptors are embedded into a linear support vector machine for classification. To evaluate the proposed method, experiments are preformed on two hyperspectral images with high spatial resolution. The experimental results confirm that the proposed method outperforms the existing algorithms on classification accuracy.
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