hyperspectral - Globe Thesis

Keyword [hyperspectral] Result: 121 - 140 \| Page: 7 of 10
121.	Experimental Study On Hyperspectral Imaging System Based On Acousto-Optic Tunable Filter
122.	The Hyperspectral Response Of Subtropical Typical Evergreen Broad-leaved Plant Seedlings Under The UVB And N Stress
123.	The Hyperspectral Response Of Typical Subtopical Trees Under Radiation Forcing
124.	Vegetation Components Quantitative Inversion By Hyper Spectral Remote Sensing In Coal Mining Area
125.	Mechanism Of Molecular Hyperspectral Imaging And Its Applications In Blood Cells Analysis
126.	The Research Of Rock Mineral Information Extraction Based On Hyperspectral Remote Sensin In Tibetan Plateau
127.	Methods Of Mineral Feature Extraction And Classification By Hyperspectral Remote Sensing Images
128.	Research On Semic Intrumerits Data Transimission And Compression Theory
129.	The Altered Mineral Assemblage Research In Jiama Porphyry-skarn Copper Deposit
130.	Researches On Several Critical Problems Of Hyperspectral Remote Sensing Image Processing And Geologic Application
131.	Research On Key Issue Of Intelligent Analysis For Hyperspectral Image Based On Support Vector Machine (SVM)
132.	Automatic Spectral Unmixing From Hyperspectral Remote Sensing Imagery
133.	Assimilation Of Hyperspectral Satellite Radiances And Its Application In Regional Numerical Weather Prediction
134.	Research On Coupled Plasmon-waveguide Resonance Sensing Method
135.	Hyperspectral Quantitative Remote Sensing Inversion Model And Regieme Of Multiple Pigments At Leaf Scale Based On PROSPECT-PLUS Model
136.	Fusion Of Hyperspectral And LiDAR Data For Urban Land Use Classification
137.	The Study Of Inversion Of The Properties Of Sandy Land Basing On The Multiple-angle And Hyperspectral Reflectance
138.	The Spatial Resolution Improvement Of Optical Remote Sensing Image With Regularization Methods
139.	Research On Quantitative Estimation Of The Grain Size Of Gobi Surface Gravel By Hyperspectral Remote Sensing Techni Que And Spatial Dissimilarity
140.	Estimation Of Key Vegetation Parameters Base On Hyperspectral Remote Sensing Data
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