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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…
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot +1
With a large amount of open satellite multispectral imagery (e.g., Sentinel-2 and Landsat-8), considerable attention has been paid to global multispectral land cover classification…
Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
Wei He, Quanming Yao, Chao Li +2
Non-local low-rank tensor approximation has been developed as a state-of-the-art method for hyperspectral image (HSI) denoising. Unfortunately, with more spectral bands for HSI, wh…
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot +1
Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to accurately estimate ab…
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
Danfeng Hong, Naoto Yokoya, Jian Xu +1
Despite the fact that nonlinear subspace learning techniques (e.g. manifold learning) have successfully applied to data representation, there is still room for improvement in expla…
Multi-temporal Sentinel-1 and -2 Data Fusion for Optical Image Simulation
Wei He, Naoto Yokoya
In this paper, we present the optical image simulation from a synthetic aperture radar (SAR) data using deep learning based methods. Two models, i.e., optical image simulation dire…
Non-local tensor completion for multitemporal remotely sensed images inpainting
Teng-Yu Ji, Naoto Yokoya, Xiao Xiang Zhu +1
Remotely sensed images may contain some missing areas because of poor weather conditions and sensor failure. Information of those areas may play an important role in the interpreta…