Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benedi...
Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient...
Mikael Carlavan, Pierre Weiss, Laure Blanc-F&eacut...
The vicarious cold and warm calibration methods of Ruf, and Brown and Ruf, have been used to assess the calibration of the WindSat radiometer as well as the biases of the TMI, SSM...
Interactive visualization of remote sensing data allows the user to explore the full scope of the data sets. Combining and comparing different modalities can give additional insig...
In this paper, we present the obtained first scientific results from CSIR-NLC mobile LIDAR (LIght Detection And Ranging) and its validation/comparison with other ground and space-...