A crop phenology detection method using time-series MODIS data

Urban land cover classification using airborne LiDAR data: A review

A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability

Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noising technique

The noise in a Lidar signal is analyzed first, and then a novel method that applies least-square support vector machine (LS-SVM) to denoising Lidar signals is proposed. In order to improve the performance of denoising, the a priori knowledge about Lidar signals is also incorporated in the training of the LS-SVM. Finally, the experimental results demonstrate the effectiveness and efficiency of our approach.

Hai-Tao Fang

Papers

Noise reduction in lidar signal based on discrete wavelet transform