A5007199510- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Bayesian Modeling and Causal Inference
- Music and Audio Processing
- Face and Expression Recognition
- Geochemistry and Elemental Analysis
- Geomagnetism and Paleomagnetism Studies
- Machine Learning and ELM
- Video Surveillance and Tracking Methods
- Geology and Paleoclimatology Research
- Landslides and related hazards
Zhuhai Institute of Advanced Technology
2023
Chinese Academy of Sciences
2006-2011
State Key Laboratory of Remote Sensing Science
2006-2008
Beijing Normal University
2007-2008
A support vector machine (SVM) is a mathematical tool which based on the structural risk minimization principle. It tries to find hyperplane in high dimensional feature space solve some linearly inseparable problems. SVM has been applied within remote sensing community multispectral and hyperspectral imagery analysis. However, standard faces technical disadvantages. For instance, solution of an learning problem scale sensitive, process time‐consuming. novel Potential (P‐SVM) algorithm...
Abstract Take‐all is an important root disease of wheat and has caused considerable decreases in crop yield China. Although take‐all the most studied any crop, there little research on detecting infestation using remote sensing imagery. In this Letter, Normalized Difference Vegetation Index Masking, Principal‐Components Transformation, Analysis techniques were used to detect severe Landsat Thematic Mapper imageries 30 April 16 May 2006. Results showed that technique was simple effective...
The purpose of this paper is to investigate the applicability Bayesian Multi‐net Classifier (BMC) classify remote sensing data. BMC based on Network (BN), which a graphical model encoding probabilistic relationships among variables interest. Different from BNC that has mere network, as many local Networks predefined classes, means features can be different for classes. Classification done by computing probability class, given particular instance features, and then predicting class with...