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Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image

机译：非线性主成分分析在机载高光谱图像中探测埋藏考古结构异常

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International audience

机译：国际观众

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Cavalli, Rosa Maria; Licciardi, Giorgio; Chanussot, Jocelyn;
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年度 2013
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正文语种 en
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1. Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image [J] . Cavalli R.M., Licciardi G.A., Chanussot J. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2013,第2aPart2期

机译：非线性主成分分析在机载高光谱图像中探测埋藏考古结构异常
2. Randomized subspace-based robust principal component analysis for hyperspectral anomaly detection [J] . Sun Weiwei, Yang Gang, Li Jialin, Journal of Applied Remote Sensing . 2018,第1期

机译：基于随机的SubsPace的高光谱异常检测鲁棒主成分分析
3. Spectral transformation based on nonlinear principal component analysis for dimensionality reduction of hyperspectral images [J] . a European Journal of Remote Sensing . 2018,第1期

机译：基于非线性主成分分析的光谱变换用于高光谱图像降维
4. Hyperspectral Image Compression and Target Detection Using Nonlinear Principal Component Analysis [C] . Qian Du, Wei Wei, Ben Ma, Satellite data compression, communications, and processing IX . 2013

机译：基于非线性主成分分析的高光谱图像压缩和目标检测
5. An adaptive spectrally weighted structure tensor applied to tensor anisotropic nonlinear diffusion for hyperspectral images. [D] . Marin Quintero, Maider J. 2013

机译：自适应光谱加权结构张量应用于高光谱图像的张量各向异性非线性扩散。
6. Principal component analysis of hyperspectral data for early detection of mould in cheeselets [O] . Jessica Farrugia, Sholeem Griffin, Vasilis P. Valdramidis, 2021

机译：高光谱数据的主要成分分析用于在CheSESelets中早期检测模具
7. DETECTION OF ANOMALIES PRODUCED BY BURIED ARCHAEOLOGICAL STRUCTURES USING NONLINEAR PRINCIPAL COMPONENT ANALYSIS APPLIED TO AIRBORNE HYPERSPECTRAL IMAGE [O] . R. M. Cavalli, G. A. Licciardi, J. Chanussot 2013

机译：应用于航空超光谱图像的非线性主成分分析检测埋藏考古结构异常
8. Reconstruction Error and Principal Component Based Anomaly Detection in Hyperspectral Imagery. [R] . Jablonski, J. A. 2014

机译：基于重构误差和主成分的高光谱图像异常检测。

Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image

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