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Polarimetric SAR interferometry (PolInSAR) is a promising remote sensing technique that has been frequently used for extracting forest height. The existing methods such as the ESPRIT method and three-stage inversion algorithm tend to underestimate the forest height due to attenuation of the electromagnetic waves in the ground medium. This paper proposes an improved hybrid inversion method based on...
In recent years, more attention has been attracted on the classification of polarimetric SAR (PolSAR) images and a lot of methods have been proposed. With the resolution increasing, the pixel-based classification methods reveal insufficiency, therefore, this paper proposes an improved SLIC superpixel algorithm for PolSAR images classification. Firstly, effective polarization features, such as polarimetric...
In order to mine the abnormal learning behavior of learner in virtual learning community and carry on personalized supervision and guidance, behavior filtering model based on the factor analysis of the behavior is constructed to solve the problem of the relationship between behavior factors in the learning behavior vector space model. In view of the disadvantage of neglecting local abnormal points...
Traditional classroom teaching is difficult to satisfy students' personalized learning. The main work of the thesis constructs knowledge point model which using relational model and constructs student model according to the students' interest characteristics, it uses improved k-means algorithm to analyze students' learning interest characteristics to dig out the interests of different students, and...
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