Hyperspectral remote sensing - Globe Thesis

Keyword [Hyperspectral remote sensing] Result: 1 - 20 \| Page: 1 of 10
1.	Study On Extraction Of Soil Information And Data Mining By Hyperspectral Remote Sensing
2.	Study Of Feature Extraction And Classification Of Hyperspectral Remote Sensing Image Based On Projection Pursuit And Nonlinear Principal Curves
3.	Studies On Inverse Theories And Methods Of Terrestrial Parameters In Remote Sensing
4.	Applications Study Of SWIR Mineral Mapping
5.	A Research Of Feature Extraction And Classification Techniques For Target Detection In Hyperspectral Image
6.	Quantitative Inversion Of Biochemical Compositions By Hyperspectral Remote Sensing
7.	Research On Filtering Noise In Spectral Domain Of Airborne Hyperspectral Remote Sensing Images
8.	Study On Using Hyperspectral Remote Sensing To Explore Oil & Gas Resources Based On Hydrocarbon Microseepage Theory
9.	Study Of Hyperspectral Feature About Remote Sensing Image
10.	Research On The Analysis Of The Spectrum Data And Extraction Metheds Of Minerals
11.	Investigation Of Hyperspectral Remote Sensing Data Classification Using Multiple Classifiers Combination
12.	Quantitive Retrieval Of Sparse Vegetation Cover In Arid Regions Using Hyperspectral Data
13.	Research Of Prospecting-oriented Approaches To Information Extraction Of Rocks And Minerals Using Hyperspectral Remote Sensing Data
14.	Research On Hyperspectral Remote Sensing Image Classification Based On Support Vector Machine
15.	Application Of Hyperspectral Remote Sensing In Uranium And Polymetallic Exploration In The Eastern Margin Of Junggar Basin
16.	Research On Theory And Algorithms Of Mixed Pixel Decomposition For Hyperspectral Remote Sensing Image
17.	A Study Of Hyperspectral Remote Sensing Data Preprocessing And Spectral Re-building In Desertification Areas
18.	Study Of A Nonlinear Mixing Spectral Model And Some Preblems Of Vegetation Classification Using Hyperspectral Remote Sensing
19.	Study On The Ground Modeling Of High-Resolution Spectral Remote Sensing
20.	Optimal Band Selection Methods Of Hyperspectral Remote Sensing Data
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