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Impact of BRDF on Physics Based Modeling as Applied to Target Detection in Hyperspectral Imagery

机译：BRDF对物理模型在高光谱图像目标检测中的应用

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Emmett J. Ientilucci; Michael Gartley;
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年度 2013
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1. A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery [J] . Ling Qiang, Guo Yulan, Lin Zaiping, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2019,第6期

机译：基于约束稀疏表示的二元假设模型用于高光谱图像目标检测
2. Collaborative Representation-Based Binary Hypothesis Model with Multi-features Learning for Target Detection in Hyperspectral Imagery [J] . Zhao Chunhui, Li Wei Journal of the Indian Society of Remote Sensing . 2018,第5期

机译：基于协作代表的二元假设模型，具有多特征学习在高光谱图像中的目标检测
3. DETECTION OF GASEOUS EFFLUENTS FROM AIRBORNE LWIR HYPERSPECTRAL IMAGERY USING PHYSICS-BASED SIGNATURES [J] . DAVID W. MESSINGER, CARL SALVAGGIO, NATALIE M. SINISGALLI International Journal of High Speed Electronics and Systems: Devices, Integrated Circuits and Systems, Optical and Quantum Electronics . 2007,第4期

机译：基于物理特征的空中LWIR高光谱成像中气体排放的检测
4. Impact of BRDF on Physics Based Modeling as Applied to Target Detection in Hyperspectral Imagery [C] . Einmett J. Ientihicci, Michael Gartley Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV . 2009

机译：BRDF对基于物理的建模应用于高光谱图像目标检测的影响
5. Physics-based detection of subpixel targets in hyperspectral imagery. [D] . Broadwater, Joshua Bret. 2007

机译：高光谱图像中基于物理的亚像素目标检测。
6. A High-Order Statistical Tensor Based Algorithm for Anomaly Detection in Hyperspectral Imagery [O] . Xiurui Geng, Kang Sun, Luyan Ji, -1

机译：基于高阶统计张量的高光谱图像异常检测算法
7. A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery [O] . Qiang Ling, Yulan Guo, Zaiping Lin, 2019

机译：基于稀疏的基于稀疏表示的基于稀疏表示的基于斑点图像检测在高光谱图像中的基于模拟模型

Impact of BRDF on Physics Based Modeling as Applied to Target Detection in Hyperspectral Imagery

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