684 citations · 1k across the 8 of their papers we have counts for
8 papers
DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling
Li Chen, Zewei Xu, Yongjian Fu +3
Airborne Laser Scanning (ALS) point clouds have complex structures, and their 3D semantic labeling has been a challenging task. It has three problems: (1) the difficulty of classif…
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Jie Chen, Ziyang Yuan, Jian Peng +5
Change detection is a basic task of remote sensing image processing. The research objective is to identity the change information of interest and filter out the irrelevant change i…
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Jie Chen, Haozhe Huang, Jian Peng +5
Remote sensing image scene classification is a fundamental but challenging task in understanding remote sensing images. Recently, deep learning-based methods, especially convolutio…
SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images
Haifeng Li, Kaijian Qiu, Li Chen +3
High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic segmentation, which is an impor…
Understanding the Importance of Single Directions via Representative Substitution
Li Chen, Hailun Ding, Qi Li +3
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or…
Adversarial Example in Remote Sensing Image Recognition
Li Chen, Guowei Zhu, Qi Li +1
With the wide application of remote sensing technology in various fields, the accuracy and security requirements for remote sensing images (RSIs) recognition are also increasing. I…