activity
20192021
most citedDeep Learning for UAV-based Object Detection and Tracking: A Survey

373 citations · 745 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2021373 cited

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…

cs.CV2020

Spatial-Spectral Manifold Embedding of Hyperspectral Data

Danfeng Hong, Jing Yao, Xin Wu +2

In recent years, hyperspectral imaging, also known as imaging spectroscopy, has been paid an increasing interest in geoscience and remote sensing community. Hyperspectral imagery i…

cs.CV202058 cited

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…

cs.CV2019314 cited

Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Danfeng Hong, Xin Wu, Pedram Ghamisi +3

Up to the present, an enormous number of advanced techniques have been developed to enhance and extract the spatially semantic information in hyperspectral image processing and ana…

cs.CV2019

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…

cs.CV2019

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…