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Road detection in forested area gained its popularity in recent years, which has an important significance in the field of forest management, fire prevention and so on. The full-waveform LiDAR has unique advantages to forest road extraction, it can record the whole returned waveform while obtaining the information of 3D coordinates of targets points, by processing waveform data, the points density...
In this study, a multi-class support vector machines (SVM) based land classification method is presented to predict the land types of Beijing area. The returned full-waveforms were collected from the Ice, Cloud and land Elevation Satellite (ICESat) mission and the Full Width at Half Maximum (FWHM) of the full-waveforms were used to be the attributes of test data for generating the SVM prediction model...
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