373 citations · 1.2k across the 10 of their papers we have counts for
6 papers · 1 filter
LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images
Zhanchao Huang, Wei Li, Xiang-Gen Xia +3
A few lightweight convolutional neural network (CNN) models have been recently designed for remote sensing object detection (RSOD). However, most of them simply replace vanilla con…
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Xin Wu, Wei Li, Danfeng Hong +2
Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS). Ins…
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
Xin Wu, Wei Li, Danfeng Hong +3
Vehicle detection in remote sensing images has attracted increasing interest in recent years. However, its detection ability is limited due to lack of well-annotated samples, espec…
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection
Xin Wu, Danfeng Hong, Jocelyn Chanussot +3
Geospatial object detection of remote sensing imagery has been attracting an increasing interest in recent years, due to the rapid development in spaceborne imaging. Most of previo…
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Wen-Shuai Hu, Heng-Chao Li, Lei Pan +3
In recent years, deep learning has presented a great advance in hyperspectral image (HSI) classification. Particularly, long short-term memory (LSTM), as a special deep learning st…
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
Xin Wu, Danfeng Hong, Jiaojiao Tian +3
With the rapid development of spaceborne imaging techniques, object detection in optical remote sensing imagery has drawn much attention in recent decades. While many advanced work…