In this paper, we present a graph-based semi-supervised framework for hyperspectral image classification. We first introduce a novel superpixel algorithm based on the spectral covariance matrix representation of pixels to provide a better representation of our data. We then construct a superpixel graph, based on carefully considered feature vectors...
We present an unsupervised colorization framework to improve both the visualization and the automatic land use clas-sification of historical aerial images. We introduce a novel algorithm built upon a cyclic generative adversarial neural network and a texture replacement method to homogeneously and automatically colorize unpaired VHR images. We appl...
We present an unsupervised colorization framework to improve both the visualization and the automatic land use clas-sification of historical aerial images. We introduce a novel algorithm built upon a cyclic generative adversarial neural network and a texture replacement method to homogeneously and automatically colorize unpaired VHR images. We appl...
We present an unsupervised colorization framework to improve both the visualization and the automatic land use clas-sification of historical aerial images. We introduce a novel algorithm built upon a cyclic generative adversarial neural network and a texture replacement method to homogeneously and automatically colorize unpaired VHR images. We appl...
We present an unsupervised colorization framework to improve both the visualization and the automatic land use clas-sification of historical aerial images. We introduce a novel algorithm built upon a cyclic generative adversarial neural network and a texture replacement method to homogeneously and automatically colorize unpaired VHR images. We appl...
We present an unsupervised colorization framework to improve both the visualization and the automatic land use clas-sification of historical aerial images. We introduce a novel algorithm built upon a cyclic generative adversarial neural network and a texture replacement method to homogeneously and automatically colorize unpaired VHR images. We appl...
The generation of 3D building models from Very High Resolution geospatial data is now an automatized procedure. However , urban areas are very complex and practitioners still have to visually assess the correctness of these models and detect reconstruction errors. We proposed an approach for automatically evaluating the quality of 3D building model...
The generation of 3D building models from Very High Resolution geospatial data is now an automatized procedure. However , urban areas are very complex and practitioners still have to visually assess the correctness of these models and detect reconstruction errors. We proposed an approach for automatically evaluating the quality of 3D building model...
ve Bayes algorithm.
ve Bayes algorithm.
