基于matlab深度学习工具箱来设计卷积神经网络用来对图像上的水体部分进行识别,并生成水体陆地二值化图像。采用的是9层卷积神经网络用来对图像进行特征提取和分类,水体识别的准确率可以达到96%以上。
最近更新: 接近5年前Landslide susceptibility mapping by deep learning and slope unit
最近更新: 接近5年前r.landslide is a free and open source add-on to the open source Geographic Information System (GIS) GRASS software for the mapping of landslide susceptiblity. The tool was developed in Python language and works on the basis of Artificial Neural Networks (ANNs) fed with environmental parameters and landslide databases. The module can be used by natural disaster management bodies and land use planning organs as a support tool for the elaboration of landslide susceptibility maps in an agile and efficient manner.
最近更新: 接近5年前This is an one class classification problem, which is based on support vecter domain description (SVDD)and Sequential minimal optimization(SMO)algorithm. This work has been tested on pubilc data set, like Iris data set from http://archive.ics.uci.edu/ml/datasets/Iris.
最近更新: 5年前One-Class SVM implementations for temporal segmentation of human activities
最近更新: 5年前