Renwei Dian
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A high-resolution video-rate hyperspectral camera with fusion architecture Open
Existing snapshot hyperspectral (HS) cameras suffer from low spatial resolution, which limits their applications. Here, we develop a novel fusion architecture for high-resolution video-rate HS imaging. The architecture adopts a coaxial dua…
View article: Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge
Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge Open
With the growing availability of remote sensing (RS) data from diverse platforms, multimodal RS techniques have emerged as a transformative solution for large-scale semantic segmentation. In response, we developed MMSeg-YREB, a specialized…
View article: Physics-Inspired Degradation Models for Hyperspectral Image Fusion
Physics-Inspired Degradation Models for Hyperspectral Image Fusion Open
The fusion of a low-spatial-resolution hyperspectral image (LR-HSI) with a high-spatial-resolution multispectral image (HR-MSI) has garnered increasing research interest. However, most fusion methods solely focus on the fusion algorithm it…
Multishot Compressive Hyperspectral Imaging Based on Tensor Fibered Rank Minimization and Its Primal-Dual Algorithm Open
Coded aperture snapshot spectral imaging (CASSI) compresses tens to hundreds of spectral bands of the hyperspectral image (HSI) to a 2-D compressive measurement. For spatially or spectrally rich scenes, the compressive measurement provided…
Surface defect detection competition with a bio-inspired vision sensor Open
This paper reports the background and results of the Surface Defect Detection Competition with Bio-inspired Vision Sensor, as well as summarizes the champion solutions, current challenges and future directions.
View article: NTIRE 2022 Spectral Recovery Challenge and Data Set
NTIRE 2022 Spectral Recovery Challenge and Data Set Open
This paper reviews the third biennial challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. This challenge presents the ARAD 1K data set: a new, l…
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval Open
Remote sensing image retrieval (RSIR), aiming at searching for a set of\nsimilar items to a given query image, is a very important task in remote\nsensing applications. Deep hashing learning as the current mainstream method\nhas achieved s…
Dual-Attention-Driven Multiscale Fusion Object Searching Network for Remote Sensing Imagery Open
Object search is a challenging yet important task. Many efforts have been made to address this issue and achieve great progress in natural image, yet searching all the specified types of objects from remote sensing image is barely studied.…
Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion Open
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial resolution owing to the limitations of imaging sensors. Image fusion is an effective and economical way to enhance the spatial resolution of HSI, which …