Suchergebnisse - "IEEE transactions on geoscience and remote sensing"

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    Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems von Wei, Zhun, Chen, Xudong

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.04.2019
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.04.2019)
    “… This paper is devoted to solving a full-wave inverse scattering problem (ISP), which is aimed at retrieving permittivities of dielectric scatterers from the …”
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    Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability von Imbiriba, Tales, Borsoi, Ricardo Augusto, Bermudez, Jose Carlos Moreira

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.03.2020
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.03.2020)
    “… Traditional hyperspectral unmixing methods neglect the underlying variability of spectral signatures often observed in typical hyperspectral images (HI), …”
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    Flattening Gamma: Radiometric Terrain Correction for SAR Imagery von Small, D.

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York, NY IEEE 01.08.2011
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.08.2011)
    “… Enabling intercomparison of synthetic aperture radar (SAR) imagery acquired from different sensors or acquisition modes requires accurate modeling of not only …”
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    Time-Dependent Response Versus Scan Angle for MODIS Reflective Solar Bands von Junqiang Sun, Xiaoxiong Xiong, Angal, Amit, Hongda Chen, Aisheng Wu, Xu Geng

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York, NY IEEE 01.06.2014
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.06.2014)
    “… The Moderate Resolution Imaging Spectroradiometer (MODIS) instruments currently operate onboard the National Aeronautics and Space Administration (NASA's) …”
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    Improved Sigma Filter for Speckle Filtering of SAR Imagery von Jong-Sen Lee, Jen-Hung Wen, Ainsworth, T.L., Kun-Shan Chen, Chen, A.J.

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York, NY IEEE 01.01.2009
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.01.2009)
    “… The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma probability, and it was reasonably effective in speckle filtering. However, …”
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    Cost-Sensitive Awareness-Based SAR Automatic Target Recognition for Imbalanced Data von Cao, Changjie, Cui, Zongyong, Wang, Liying, Wang, Jielei, Cao, Zongjie, Yang, Jianyu

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 2022
    “… With the maturity of synthetic aperture radar (SAR) technology, the problem of imbalanced data has gradually emerged. This problem makes it difficult for the …”
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    Random-Frequency SAR Imaging Based on Compressed Sensing von Jungang Yang, Thompson, J., Xiaotao Huang, Tian Jin, Zhimin Zhou

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York, NY IEEE 01.02.2013
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.02.2013)
    “… Stepped-frequency waveforms can achieve an ultrawide bandwidth by using a sequence of single-frequency pulses. The advantages of stepped-frequency waveforms …”
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    Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge von Zaji, Amir Hossein, Bonakdari, Hossein, Gharabaghi, Bahram

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.06.2018
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.06.2018)
    “… Simulating and forecasting river discharge using satellite information is one of the most economical ways of measuring discharge, especially in remote areas …”
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    Substance Dependence Constrained Sparse NMF for Hyperspectral Unmixing von Yuan, Yuan, Fu, Min, Lu, Xiaoqiang

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.06.2015
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.06.2015)
    “… Hyperspectral unmixing is one of the most important problems in analyzing remote sensing images, which aims to decompose a mixed pixel into a collection of …”
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    LaMIE: Large-Dimensional Multipass InSAR Phase Estimation for Distributed Scatterers von Yusong Bai, Jian Kang, Xiang Ding, Anping Zhang, Zhe Zhang, Naoto Yokoya

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2023
    Veröffentlicht in IEEE Transactions on Geoscience and Remote Sensing (01.01.2023)
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    A detail-preserving scale-driven approach to change detection in multitemporal SAR images von Bovolo, F., Bruzzone, L.

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York, NY IEEE 01.12.2005
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.12.2005)
    “… This paper presents a novel approach to change detection in multitemporal synthetic aperture radar (SAR) images. The proposed approach exploits a wavelet-based …”
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    Model-Based Homogeneity to Extend Compressed Sensing for Ground Penetrating Radar von Ryuta Imai, Yicheng Song, Ryo Natsuaki, Akira Hirose

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2022
    Veröffentlicht in IEEE Transactions on Geoscience and Remote Sensing (01.01.2022)
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    Use of Doppler Parameters for Ship Velocity Computation in SAR Images von Renga, Alfredo, Moccia, Antonio

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.07.2016
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.07.2016)
    “… This paper deals with the exploitation of Doppler centroid measurements for ship velocity estimation from focused single-look complex synthetic aperture radar …”
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    Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality von Brando, V.E., Dekker, A.G.

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.06.2003
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.06.2003)
    “… The successful launch of Hyperion in November 2000 bridged the gap between the high-resolution (spatial and spectral) airborne remote sensing and the lower …”
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    Emulating Sentinel-1 Doppler Radial Ice Drift Measurements Using Envisat ASAR Data von Kraemer, Thomas, Johnsen, Harald, Brekke, Camilla

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.12.2015
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.12.2015)
    “… Using data from the Envisat Advanced Synthetic Aperture Radar (ASAR) instrument, this paper demonstrates how the high-precision radial surface velocity …”
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