Object detection in remote sensing images based on deep transfer learning

J Chen, J Sun, Y Li, C Hou - Multimedia Tools and Applications, 2022 - Springer
Object detection is a basic part in remote sensing image processing. At present, it is more
common to conduct the topic based on deep learning, however the volume of remote …

Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images

Z Zhang, C Han, X Wang, H Li, J Li, J Zeng… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Pine wilt disease spreads rapidly, leading to the death of a large number of pine
trees. Exploring the corresponding prevention and control measures for different stages of …

Fusing Canny operator with vibe algorithm for target detection

D Jin, S Zhu, X Sun, Z Liang… - 2016 Chinese Control and …, 2016 - ieeexplore.ieee.org
Due to the complexity of human motion, the target detection results by using traditional ViBe
algorithm are not so satisfactory. Therefore, this paper proposes a method to deal with the …

A fast template matching algorithm based on principal orientation difference

J Jiao, X Wang, Z Deng, J Cao… - International Journal of …, 2018 - journals.sagepub.com
In the case that the background scene is dense map regularization complex and the
detected objects are low texture, the method of matching according to the feature points is …

Target detection via improved ViBe algorithm

X Li, S Zhu, L Chen, J Liu - The 27th Chinese Control and …, 2015 - ieeexplore.ieee.org
Due to the complexity of human motion, the target detection results by using traditional ViBe
algorithm are not so satisfactory. Therefore, this paper proposes a method to deal with the …

Target Detection Via Combining Canny Operator With Vibe Method

L Chen, S Zhu, X Li - 2015 International Symposium on …, 2015 - atlantis-press.com
Due to the complexity of human motion, the target detection results by using traditional ViBe
algorithm are not so satisfactory. Therefore, this paper proposes a method to deal with the …