C3TB-YOLOv5: integrated YOLOv5 with transformer for object detection in high-resolution remote sensing images

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-04-03 DOI:10.1080/01431161.2024.2329528

Qinggang Wu, Yang Li, Wei Huang, Qiqiang Chen, Yonglei Wu

引用次数: 0

Abstract

In the realm of object detection from high-resolution remote sensing images (HRRSIs), the existing YOLOv5 methods encounter several challenges, including dense object arrangements, small object siz...

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C3TB-YOLOv5：带变压器的集成式 YOLOv5，用于在高分辨率遥感图像中检测物体

在从高分辨率遥感图像（HRRSIs）中检测物体的领域，现有的 YOLOv5 方法遇到了一些挑战，包括密集的物体排列、小尺寸物体和高分辨率遥感图像（HRRSIs）中的物体检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).