Dimensionality Reduction via Regression in Hyperspectral Imagery

Dimensionality Reduction via Regression in Hyperspectral Imagery

31 January 2016

Gustau Camps-Valls

Papers citing "Dimensionality Reduction via Regression in Hyperspectral Imagery"

7 / 7 papers shown

Title
Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks Songyang Zhang Qinwen Deng Zhi Ding VOS 25 2 0 29 Nov 2021
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion D. Svendsen Pablo Morales-Álvarez A. Ruescas Rafael Molina Gustau Camps-Valls 17 29 0 16 Apr 2021
Tight Sensitivity Bounds For Smaller Coresets Alaa Maalouf Adiel Statman Dan Feldman 11 18 0 02 Jul 2019
Fast and Accurate Least-Mean-Squares Solvers Alaa Maalouf Ibrahim Jubran Dan Feldman 13 24 0 11 Jun 2019
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery Junjun Jiang Jiayi Ma Chen Chen Zhongyuan Wang Z. Cai Lizhe Wang 11 256 0 26 Jun 2018
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis Valero Laparra S. Jiménez Gustavo Camps-Valls Jesús Malo 29 51 0 31 Jan 2016
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 59 125 0 31 Jan 2016