Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification

1 code implementation • 15 Mar 2021 • Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu

To this end, we frame the problem of unsupervised band selection as a Markov decision process, propose an effective method to parameterize it, and finally solve the problem by deep reinforcement learning.

Classification General Classification +4

Self-supervised pre-training enhances change detection in Sentinel-2 imagery

1 code implementation • 20 Jan 2021 • Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia

While annotated images for change detection using satellite imagery are scarce and costly to obtain, there is a wealth of unlabeled images being generated every day.

Change Detection Self-Supervised Learning

Multisource and Multitemporal Data Fusion in Remote Sensing

no code implementations • 19 Dec 2018 • Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Hofle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jon Atli Benediktsson

The sharp and recent increase in the availability of data captured by different sensors combined with their considerably heterogeneous natures poses a serious challenge for the effective and efficient processing of remotely sensed data.

Fast and Robust Matching for Multimodal Remote Sensing Image Registration

no code implementations • 19 Aug 2018 • Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu

To address this problem, this paper presents a fast and robust matching framework integrating local descriptors for multimodal registration.

Computational Efficiency Image Registration +1