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IEEE transactions on geoscience and remote sensing... 54건

  1. [해외논문]   Building Occlusion Detection From Ghost Images   SCI SCIE

    Zhou, Guoqing (Guangxi Key Laboratory for Geospatial Informatics and Geomatics, Guilin University of Technology, Guilin, China ) , Wang, Yuefeng (Guangxi Key Laboratory for Geospatial Informatics and Geomatics, Guilin University of Technology, Guilin, China ) , Yue, Tao (Guangxi Key Laboratory for Geospatial Informatics and Geomatics, Guilin University of Technology, Guilin, China ) , Ye, Siqi (Guangxi Key Laboratory for Geospatial Informatics and Geomatics, Guilin University of Technology, Guilin, China) , Wang, Wei
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1074 - 1084 , 2017 , 0196-2892 ,

    초록

    This paper proposes a novel occlusion detection method for urban true orthophoto generation. In this new method, occlusion detection is performed using a ghost image; this method is therefore considerably different from the traditional Z-buffer method, in which occlusion detection is performed during the generation of a true orthophoto (to avoid ghost image occurrence). In the proposed method, a model is first established that describes the relationship between each ghost image and the boundary of the corresponding building occlusion, and then an algorithm is applied to identify the occluded areas in the ghost images using the building displacements. This theory has not previously been applied in true orthophoto generation. The experimental results demonstrate that the method proposed in this paper is capable of effectively avoiding pseudo-occlusion detection, with a success rate of 99.2%, and offers improved occlusion detection accuracy compared with the traditional Z-buffer detection method. The advantage of this method is that it avoids the shortcoming of performing occlusion detection and true orthophoto generation simultaneously, which results in false visibility and false occlusions; instead, the proposed method detects occlusions from ghost images and therefore provides simple and effective true orthophoto generation.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

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  2. [해외논문]   Multiple Kernel Sparse Representation for Airborne LiDAR Data Classification   SCI SCIE

    Gu, Yanfeng , Wang, Qingwang , Xie, Bingqian
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1085 - 1105 , 2017 , 0196-2892 ,

    초록

    To effectively learn heterogeneous features extracted from raw LiDAR point cloud data for landcover classification, a multiple kernel sparse representation classification (MKSRC) framework is proposed in this paper. In the MKSRC, multiple kernel learning (MKL) is embedded into sparse representation classification (SRC). The heterogeneous features are first extracted from the raw LiDAR point cloud data before classification. These features contain useful information from different dimensions, including single point features and neighbor features. Based on feature extraction, on the one hand, MKL is reasonably integrated into the SRC, namely, different base kernels that are constructed with each heterogeneous feature separately are utilized in the process of sparse representation. Furthermore, joint sparsity model is also introduced into the MKSRC framework and multiple kernel joint SRC (MKJSRC) is then proposed. On the other hand, improved kernel alignment (IKA) methods are proposed to more effectively determine the weights of base kernels in both of MKSRC and MKJSRC. Experiments are conducted on three real airborne LiDAR data sets. The experimental results demonstrate that MKSRC and MKJSRC frameworks can effectively learn the heterogeneous features for LiDAR point cloud classification and outperforms the other state-of-the-art sparse representation-based classifiers and the recent MKL algorithm. Moreover, the proposed IKA is helpful to better determine the “optimal” weights of the base kernels in both MKSRC and MKJSRC than in the existing kernel alignment method.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  3. [해외논문]   Accuracy of Nearshore Bathymetry Inverted From ${X}$ -Band Radar and Optical Video Data   SCI SCIE

    Rutten, Jantien (Department of Physical Geography, Faculty of Geosciences, Utrecht University, TC Utrecht, The Netherlands ) , de Jong, Steven M. (Department of Physical Geography, Faculty of Geosciences, Utrecht University, TC Utrecht, The Netherlands) , Ruessink, Gerben
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1106 - 1116 , 2017 , 0196-2892 ,

    초록

    Shore-based remote sensing platforms are increasingly used to frequently (~daily) obtain bathymetric information of large (~km $^{2}$ ) nearshore regions over many years. With recorded wave frequency $\Omega $ and wavenumber $k$ (and hence wave phase speed $c = \Omega /k$ ), bed elevation $z_{b}$ can be derived using a model that relates $\Omega $ and $k$ to water depth. However, the accuracy of $z_{b}$ as a function of the sensor and the method of $\Omega -k$ retrieval is not well known, especially not under low-period waves. Here, we assess the accuracy of $z_{b}$ , based on two sensors with their own method of phase speed retrieval, in a dynamic, kilometer-scale environment (Sand Engine, The Netherlands). Bias in $z_{b}$ is systematic. A fast Fourier transform (FFT) method on ${X}$ -band radar imagery produced $z_{b}$ too shallow by 1.0 m for $-15~\text {m} \leq z_{b} \leq -9$ m, and too deep by 2.3 m for $z_{b}\geq -6$ m. A cross-spectral method on optical video imagery produced $z_{b}$ too shallow by 0.59 m for $-10~\text {m} \leq z_{b} \leq -5$ m, and too deep by 0.92 m for $z_{b}\geq -1$ m. Intermediate depths had negligible bias, −0.02 m for the radar-FFT approach and −0.01 m for the video-CS approach. The collapse of the FFT method in shallow water may be explained by the inhomogeneity of the wave field in the 960 m $\times960$ m analysis windows. A shoreward limit of the FFT method is proposed that depends on $z_{b}$ in the analysis windows.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  4. [해외논문]   Adaptive Nonzero-Mean Gaussian Detection   SCI SCIE

    Frontera-Pons, Joana , Pascal, Frederic , Ovarlez, Jean-Philippe
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1117 - 1124 , 2017 , 0196-2892 ,

    초록

    Classical target detection schemes are usually obtained by deriving the likelihood ratio under Gaussian hypothesis and replacing the unknown background parameters by their estimates. In most applications, interference signals are assumed to be Gaussian with zero mean [or with a known mean vector (MV)] and with an unknown covariance matrix (CM). When the MV is unknown, it has to be jointly estimated with the CM. In this paper, adaptive versions of the classical matched filter (MF) and the normalized MF, as well as two versions of the Kelly detector are first derived and then analyzed for the case where the MV of the background is unknown. More precisely, theoretical closed-form expressions for false alarm (FA) regulation are derived and the constant FA rate property is pursued to allow the detector to be independent of nuisance parameters. Finally, the theoretical contributions are validated through simulations.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  5. [해외논문]   Uniaxial Complex Relative Permittivity Tensor Measurement of Rocks From 40 Hz to 4.5 GHz   SCI SCIE

    Shehab, Fouad , Myers, Michael T. , Ott, Holger , Dolan, Sean , Dietderich, Jesse , Bayazitoglu, Yildiz
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1125 - 1139 , 2017 , 0196-2892 ,

    초록

    We develop a set of combined measurement techniques and calculation workflows to determine the complex uniaxial dielectric tensor of a rock sample from 40 Hz to 4.5 GHz. This unique method provides the ability to develop interpretation models bridging electrical logging tools with their corresponding operational frequencies and measurement direction. It further highlights the presence and importance of accounting for electrical anisotropy dispersion in formation evaluation. This permits the industry to initiate the desired electrical logging programs and apply appropriate borehole raw data corrections. The required workflow utilizes three measurement systems, which when combined result in measuring the electrical dispersion over a broad frequency range in the radial and axial directions on the same vertical rock sample. The measurement process is grouped into a high-frequency device from 10 MHz to 4.5 GHz and a low-frequency system from 40 Hz to 100 MHz. The high frequency is a two-port coax to circular waveguide and is described in this paper for measuring broadband data of dielectric dispersion properties of reservoir rocks in both anisotropic directions. The low frequency consists of combining both parallel plate capacitor and one-port coax with a circular waveguide terminated by a short (0 $\Omega$ ) or open (infinite ohms) to obtain dispersion curves in both the axial and radial directions. The theoretical basis of each of the above systems is described. Two reservoir rocks are tested and their results are reported. In conclusion, the added value this laboratory capability presents will yield a higher quality of borehole data and a more quantitatively accurate petrophysical interpretation.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  6. [해외논문]   On the Construction of CFAR Decision Rules via Transformations   SCI SCIE

    Weinberg, Graham V.
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1140 - 1146 , 2017 , 0196-2892 ,

    초록

    The Pareto distribution has been validated as a suitable model for X-band maritime surveillance radar clutter returns, and consequently there has been much interest in developing radar detection algorithms under such a clutter model assumption. Recent research has shown that it is possible to apply a transformation approach to adapt the traditional constant false alarm rate (CFAR) detectors, designed to operate in exponentially distributed clutter, to the Pareto setting. However, it was found that this approach resulted in the decision rule requiring a priori knowledge of the Pareto scale parameter. It is shown here that this shortcoming can be rectified by application of a complete sufficient statistic to the transformed detector. Consequently, new decision rules are derived and it is shown that they not only achieve the CFAR property but in some instances can improve the performance of the decision rules from which they are derived.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  7. [해외논문]   Characterization of Long-Term Stability of Suomi NPP Cross-Track Infrared Sounder Spectral Calibration   SCI SCIE

    Chen, Yong , Han, Yong , Weng, Fuzhong
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1147 - 1159 , 2017 , 0196-2892 ,

    초록

    Since early 2012, the cross-track infrared sounder (CrIS) onboard the Suomi National Polar-Orbiting Partnership satellite has continually provided the hyperspectral infrared observations for profiling atmospheric temperature, moisture, and greenhouse gases. The CrIS radiance data are also directly assimilated into global numerical weather prediction models to improve the medium-range forecasts. These important applications require accurate CrIS calibration. Since CrIS radiometric accuracy depends on the accurate spectral calibration, it is important to reduce the spectral uncertainty and increase the calibration stability for weather and climate applications. In this paper, the accuracy of CrIS spectral calibration and its stability are assessed using the operational sensor data record (SDR) data generated by the interface data processing segment (IDPS). A spectral validation method is developed and applied to clear scene data over ocean from September 22, 2012, to April 19, 2016. It is shown that CrIS metrology laser wavelength varies within 3 ppm, as measured by the Neon calibration subsystem. While the current CrIS operational algorithm is designed to have a spectra error less than 2 ppm, the actual spectral errors are about 4 ppm due to the IDPS software bugs. A new correction method is applied to fix the bugs and to further improve CrIS spectral calibration. It is found that the CrIS spectral calibration accuracy is less than 1 ppm in both normal and full spectral resolution SDR data sets.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  8. [해외논문]   Characterizing Vegetation Canopy Structure Using Airborne Remote Sensing Data   SCI SCIE

    Dutta, Debsunder , Wang, Kunxuan , Lee, Esther , Goodwell, Allison , Woo, Dong Kook , Wagner, Derek , Kumar, Praveen
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1160 - 1178 , 2017 , 0196-2892 ,

    초록

    Vegetation canopy structure plays an important role in the partitioning of incident solar radiation, photosynthesis, transpiration, and other scalar fluxes. The vertical foliage distribution of the plant canopy is represented by leaf area density (LAD), which is defined as the one-sided leaf area per unit volume. Airborne light detection and ranging (LiDAR) offers the possibility to characterize the 3-D variation of LAD over space, which still remains a challenge to estimate. Moreover, the low density of point cloud data generally offered by airborne LiDAR may be insufficient for accurate LAD estimation in dense overlapping forest canopies. We develop a method for the estimation of the LAD profile using a combination of airborne LiDAR and hyperspectral data using a feature-based data fusion approach. After identifying vegetation species using hyperspectral data, point cloud LiDAR data is used in a “tree-shaped” voxel approach to characterize the LAD of trees in a riparian forest setting. We also propose a set of relationships on simple geometry of overlap for the construction of tree shaped voxels. In a forest setting with overlapping canopies, the results indicate that the tree-shaped voxels are better able to attribute the LAD to the upper and middle parts of the overall canopy as well as individual tall and short trees compared with traditional cylindrical voxels.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   Through-Casing Hydraulic Fracture Evaluation by Induction Logging I: An Efficient EM Solver for Fracture Detection   SCI SCIE

    Fang, Yuan , Dai, Junwen , Yu, Zhiru , Zhou, Jianyang , Liu, Qing Huo
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1179 - 1188 , 2017 , 0196-2892 ,

    초록

    Hydraulic fracturing is an essential way to improve the production of unconventional shale oil and gas. It is important to characterize the produced fractures using either acoustic or electromagnetic (EM) methods. Conventional EM solvers in the low-frequency range face significant challenges by such multiscale problems where the fracture width is orders of magnitude smaller than its diameters. Furthermore, the cased borehole environment is extremely difficult to simulate with conventional EM solvers due to meshing difficulties and the multiscale nature of the problem. In this paper, we develop a hybrid distorted Born approximation and 3-D mixed ordered stabilized biconjugate gradient fast Fourier transform (DBA-BCGS-FFT) method to simulate the very challenging 2-D, 2-D-axisymmetric, and 3-D hydraulic fracture models under both open and cased borehole environments. Numerical examples show that this method has orders of magnitude higher efficiency than the finite element method. The capabilities of the DBA-BCGS-FFT method for the induction tool fracture mapping are demonstrated by comparing with laboratory experimental results and other reference results.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  10. [해외논문]   Through-Casing Hydraulic Fracture Evaluation by Induction Logging II: The Inversion Algorithm and Experimental Validations   SCI SCIE

    Yu, Zhiru , Zhou, Jianyang , Fang, Yuan , Hu, Yunyun , Liu, Qing Huo
    IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society v.55 no.2 ,pp. 1189 - 1198 , 2017 , 0196-2892 ,

    초록

    Evaluation of hydraulic fractures has been under intensive study since the last decade. Among published works, only a few have included casing effects. This paper focuses on the through-casing electromagnetic (EM) induction imaging method that evaluates hydraulic fractures with enhanced contrasts. An experimental system and an inverse scattering algorithm are presented. The laboratory scaled experimental system is built for the feasibility study of the EM induction imaging method for the through-casing hydraulic fracture evaluation. To develop the inverse scattering algorithm, fractures outside boreholes with metallic casing are modeled by a novel hybrid approximation method. This method combines the distorted Born approximation and the mixed order stabilized bi-conjugate gradient fast Fourier transform method to solve the forward scattering problem. The variational Born iterative method is applied to solve the nonlinear inverse problem iteratively. Experimental results show that the inverse scattering algorithm is effective for EM contrast enhanced through-casing hydraulic fracture evaluation.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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