29 citations · 76 across the 8 of their papers we have counts for
8 papers
Unmixing Convolutional Features for Crisp Edge Detection
Linxi Huan, Nan Xue, Xianwei Zheng +3
This paper presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge…
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Wei He, Quanming Yao, Chao Li +4
Non-local low-rank tensor approximation has been developed as a state-of-the-art method for hyperspectral image (HSI) restoration, which includes the tasks of denoising, compressed…
Illumination invariant hyperspectral image unmixing based on a digital surface model
Tatsumi Uezato, Naoto Yokoya, Wei He
Although many spectral unmixing models have been developed to address spectral variability caused by variable incident illuminations, the mechanism of the spectral variability is s…
Guided Deep Decoder: Unsupervised Image Pair Fusion
Tatsumi Uezato, Danfeng Hong, Naoto Yokoya +1
The fusion of input and guidance images that have a tradeoff in their information (e.g., hyperspectral and RGB image fusion or pansharpening) can be interpreted as one general prob…
Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping
Naoto Yokoya, Kazuki Yamanoi, Wei He +4
We propose a framework that estimates inundation depth (maximum water level) and debris-flow-induced topographic deformation from remote sensing imagery by integrating deep learnin…
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
Wei He, Yong Chen, Naoto Yokoya +2
Hyperspectral super-resolution (HSR) fuses a low-resolution hyperspectral image (HSI) and a high-resolution multispectral image (MSI) to obtain a high-resolution HSI (HR-HSI). In t…