activity
20132025
most citedLunar impact craters identification and age estimation with Chang'E data by deep and transfer learning

1.1k citations · 5.5k across the 27 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cs.LG2018★ 13 cited

Multisource and Multitemporal Data Fusion in Remote Sensing

Pedram Ghamisi, Behnood Rasti, Naoto Yokoya +9

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 eff…

eess.IV2018★ 33 cited

Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification

Yao Qin, Lorenzo Bruzzone, Biao Li

This paper presents a tensor alignment (TA) based domain adaptation method for hyperspectral image (HSI) classification. To be specific, HSIs in both domains are first segmented in…

physics.chem-ph2018★ 16 cited

A local fingerprint for hydrophobicity and hydrophilicity: from methane to peptides

S. Pérez-Conesa, Pablo M. Piaggi, Michele Parrinello

An important characteristic that determines the behavior of a solute in water is whether it is hydrophobic or hydrophilic. The traditional classification is based on chemical exper…

cs.CV2018★ 413 cited

Fast and Robust Matching for Multimodal Remote Sensing Image Registration

Yuanxin Ye, Lorenzo Bruzzone, Jie Shan +2

While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, LiDAR, SAR, and map] remains a challenging problem be…

cs.CV2018★ 14 cited

Recent Developments from Attribute Profiles for Remote Sensing Image Classification

Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula +1

Morphological attribute profiles (APs) are among the most effective methods to model the spatial and contextual information for the analysis of remote sensing images, especially fo…

cs.CV2018★ 640 cited

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu

Change detection is one of the central problems in earth observation and was extensively investigated over recent decades. In this paper, we propose a novel recurrent convolutional…