This article presents a survey of simultaneous localization and map** (SLAM) and data
fusion techniques for object detection and environmental scene perception in unmanned …

Diffusion models have achieved promising results in image restoration tasks, yet suffer from
time-consuming, excessive computational resource consumption, and unstable restoration …

Images captured in weak illumination conditions could seriously degrade the image quality.
Solving a series of degradation of low-light images can effectively improve the visual quality …

Capturing images in weak illumination environments seriously degrades image quality, such
as low visibility, low contrast, artifacts, and noise. Solving a series of degradation of low-light …

Previous coarse-to-fine strategies typically spend equal effort in feature extraction and
feature reconstruction, and gradually improve the brightness of images from bottom to top …

In the recent years, visual navigation has been considered an effective mechanism for
achieving an autonomous landing of Unmanned Aerial Vehicles (UAVs). Nevertheless, with …

Accurate monitoring of rice phenology is critical for crop management, cultivars breeding,
and yield estimating. Previously, research for phenology detection relied on time-series data …

This letter aims to combine spatial and frequency information for single image deblurring.
Although some methods have tried to use frequency information to perform deblurring, they …

To address the limitation and obtain the position of the drone even when the relative poses
and intrinsics of the drone camera are unknown, a visual positioning algorithm based on …

Low-light image enhancement is highly desirable for outdoor image processing and
computer vision applications. Research conducted in recent years has shown that images …