Feb 28, 2019 · The THNet is proposed to realize fast and accurate target detection in remote sensing images. •. A novel transfer-compression learning ...
Feb 28, 2019 · A new target detection framework named target heat-map network (THNet) is proposed in this paper to address these problems.
In this paper, we focus on approaching fast and accurate target detection in high-resolution remote sensing images (RSIs). Recently, machine-learning based ...
A small target detection research based on dynamic convolution neural network is proposed to replace the traditional convolutional neural network, ...
We propose a Fine-grained Target Focusing Network (FiFoNet) which can effectively select a combination of multi-scale features for an object and block ...
Dec 27, 2024 · At the end of the target detection network, the prediction head regresses and predicts the target using prior boxes. However, this approach ...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.
Many remote sensing aircraft detection methods based on neural networks have been proposed because of their strong feature abstraction ability and high accuracy ...
In this study, a new detection algorithm is proposed based on the YOLOv5s algorithm for small target detection.
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Ship target detection method based on improved YOLOv8 for SAR images
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Dec 14, 2024 · In order to solve the above problems, this paper proposes a method to detect the small ship targets in SAR images based on improved YOLOv8.