248 citations · 469 across the 8 of their papers we have counts for
8 papers
Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery
Chengxi Han, Chen Wu, Haonan Guo +3
The rapid advancement of automated artificial intelligence algorithms and remote sensing instruments has benefited change detection (CD) tasks. However, there is still a lot of spa…
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
Chengxi Han, Chen Wu, Haonan Guo +2
Benefiting from the developments in deep learning technology, deep-learning-based algorithms employing automatic feature extraction have achieved remarkable performance on the chan…
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Di Wang, Jing Zhang, Minqiang Xu +8
Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervis…
Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models
Haonan Guo, Xin Su, Chen Wu +3
Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users…
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…
Probabilistic Model of Object Detection Based on Convolutional Neural Network
Fang-Qi Li, Xu-Die Ren, Hao-Nan Guo
The combination of a CNN detector and a search framework forms the basis for local object/pattern detection. To handle the waste of regional information and the defective compromis…