DETERMINATION OF MORPHOLOGICALLY CHARACTERISTIC PCG SEGMENTS FROM SPECTROGRAM IMAGE


Landslide Susceptibility Mapping Based on Particle Swarm Optimization of Multiple Kernel Relevance Vector Machines: Case of a Low Hill Area in Sichuan Province, China

In this paper, we propose a multiple kernel relevance vector machine (RVM) method based on the adaptive cloud particle swarm optimization (PSO) algorithm to map landslide susceptibility in the low hill area of Sichuan Province, China.In the multi-kernel structure, the kernel selection problem can be solved by adjusting the kernel weight, which dete

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