19 citations · 57 across the 14 of their papers we have counts for
7 papers · 1 filter
Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange
Hongruixuan Chen, Jian Song, Chen Wu +2
Change detection (CD) is a critical task in studying the dynamics of ecosystems and human activities using multi-temporal remote sensing images. While deep learning has shown promi…
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
Haonan Guo, Xin Su, Chen Wu +2
Change detection (CD) is a fundamental and important task for monitoring the land surface dynamics in the earth observation field. Existing deep learning-based CD methods typically…
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space
Haonan Guo, Bo Du, Chen Wu +2
Change detection (CD) is an important yet challenging task in the Earth observation field for monitoring Earth surface dynamics. The advent of deep learning techniques has recently…
Expediting Building Footprint Extraction from High-resolution Remote Sensing Images via progressive lenient supervision
Haonan Guo, Bo Du, Chen Wu +2
The efficacy of building footprint segmentation from remotely sensed images has been hindered by model transfer effectiveness. Many existing building segmentation methods were deve…
An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea
Chen Wu, Xingjie Hao, Meiqi Hu +3
Wearing face mask is an effective measure to reduce the risk of COVID-19 infections and control its transmission, thus its usage survey is important for better policy decision to m…
GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection
Meiqi Hu, Chen Wu, Liangpei Zhang
High spectral resolution imagery of the Earth's surface enables users to monitor changes over time in fine-grained scale, playing an increasingly important role in agriculture, def…