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10篇 您的检索式:作者名="Althouse M L"
    题名 作者 年代 出处 被引量
1A novel Bragg grating sensor interrogation system utilizing a scanning filter, a Maeh-Zehnder interferometer and a 3 × 3 coupler 显示文摘TODD M D JOHNSON G A ALTHOUSE B L 2001Measurement Science and Technology2001,12,7:1
2Least squares subspace projection approach to mixed pixel classification for hyperspectral images显示文摘C I Chang X L Zhao M L G Althouse 1998IEEE Trans Geoscience Remote Sensing1998,36,3:1
3A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification 显示文摘CHANG C I Du Q SUN T L ALTHOUSE M L G 1999IEEE Transactions on Geoscienee and Remote Sensing1999,37,6:1
4A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks显示文摘Guilfoyle K J Althouse M L Chang C I 2001IEEE Transactions on Geoscience and Remote Sensing2001,39,8:1
5The Laser Interferometer Gravitational Wave Observatory 显示文摘Abramovici A Althouse W E Drever R W P Grsel Y Kawa- muraS RaabFJ ShoemakerD Sievers L Spero RE Thorne K S Vogt R E Weiss R Whitcomb S E Zucker M E 1992Science1992,256,5055:1
6A novel Bragg grating sensor interrogation system utilizing a scanning filter, a Mach -Zehnder interferometer and a 3×3 coupler显示文摘TODD M D JOHNSON G A ALTHOUSE B L 2001Measurement Science and Technology2001,12,7:1
7Least squares subspace projection approach to mixed pixel classification for hyperspectral images显示文摘Chang C I Zhao Xiaoli Althouse M L G 1998IEEE Trans on Geoscience and Remote Sensing1998,36,3:1
8A novel Bragg grating sensor interrogation system ascanning filter,a Mach-Zehnder interferometer and a 3×3 coupler显示文摘Todd M D Johnson G A Althouse B L 2001Measurement Scienceand Technology2001,12,7:1
9Fully Constrained Least-squares Based Linear Unmixing显示文摘Heinz D Chang C I Althouse M L G 1999IEEE International Geoscience and Remote Sensing Symposium1999,2,:1
10A relative entropy-based approach to image thresholding显示文摘Chang C I Wang K Althouse M L 1993Pattern Recognit1993,120,:1
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