Deep semantic segmentation of unmanned aerial vehicle remote sensing images based on fully convolutional neural network

Article Computer Science, Artificial Intelligence

Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps

Jingyu Li et al.

Summary: A method named Lane-DeepLab is proposed for detecting multi-class lane lines in unmanned driving scenarios, which is based on semantic segmentation and redesigned the DeepLabv3+ network with attention mechanism for more accurate results. The method combines high-level and low-level semantic information to obtain abundant features and achieves automatic high-precision mapping results.

NEUROCOMPUTING (2021)

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Article Biochemical Research Methods

Depth Semantic Segmentation of Tobacco Planting Areas from Unmanned Aerial Vehicle Remote Sensing Images in Plateau Mountains

Liang Huang et al.

Summary: This paper proposes a method based on deep learning for accurately extracting tobacco planting areas in plateau mountains using UAV remote sensing images. By establishing a tobacco semantic segmentation dataset and using multiple deep semantic segmentation models, high accuracy results were obtained.

JOURNAL OF SPECTROSCOPY (2021)

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Review Oncology

Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis

Ruixin Yang et al.

Summary: In the era of digital medicine, there is a high demand for intelligent equipment to assist medical doctors with diagnosis. Convolutional neural networks and their extension algorithms play important roles in medical imaging, but object detection and semantic segmentation are rarely discussed in detail.

FRONTIERS IN ONCOLOGY (2021)

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Review Environmental Sciences

A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

Haidong Zhang et al.

Summary: Precision agriculture relies on rapid acquisition and analysis of agricultural information. Unmanned aerial vehicle low-altitude remote sensing (UAV-LARS) has significant advantages of high spatial-temporal resolution and strong mobility. UAV-LARS has great potential as a monitoring tool for agriculture, especially in China, where it has demonstrated historical and current applications.

REMOTE SENSING (2021)

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Article Computer Science, Information Systems

The Programming Model of Air-Ground Cooperative Patrol Between Multi-UAV and Police Car

Jianhua Yang et al.

Summary: This paper investigates the impact of air-ground cooperative patrol on patrol tasks by optimizing the allocation strategy of patrol points and routes, and explores its application in different patrol environments. The research findings suggest that using the optimization model can improve the environmental adaptability of patrol tasks and enhance patrol efficiency by analyzing the relationships between patrol elements.

IEEE ACCESS (2021)

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Article Engineering, Aerospace