29 citations · 45 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…