Results 21 to 30 of about 29,954 (261)
Cloud and Cloud Shadow Detection of GF-1 Images Based on the Swin-UNet Method
Atmosphere, 2023 Cloud and cloud shadow detection in remote sensing images is an important preprocessing technique for quantitative analysis and large-scale mapping. To solve the problems of cloud and cloud shadow detection based on Convolutional Neural Network models ...
Yuhao Tan +7 more
doaj +1 more source
A NEW CLOUD SHADOW DETECTION ALGORITHM BASED ON PRIOR LAND TYPE DATABASE SUPPORT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Cloud shadow detection is one of the basic step for remote sensing image processing. The threshold method is commonly used currently because of its easy implementation and good accuracy. Aiming at the problems that common threshold settings are difficult
X. Y. Zhou, L. Sun
doaj +1 more source
Terrestrial Hyperspectral Image Shadow Restoration through Lidar Fusion
Remote Sensing, 2017 Acquisition of hyperspectral imagery (HSI) from cameras mounted on terrestrial platforms is a relatively recent development that enables spectral analysis of dominantly vertical structures.
Preston Hartzell +2 more
doaj +1 more source
Journal of King Saud University: Computer and Information Sciences, 2023 Recent shadow detectors excel on simple datasets but encounter difficulties with facial shadow images under complex lighting due to the lack of annotated shadow masks, varying shadow sizes, and imbalances between the target and background.
Hongliang Zhou, Jizheng Yi
doaj +1 more source
Remote Sensing, 2022 Shadow detection is an essential research topic in the remote-sensing domain, as the presence of shadow causes the loss of ground-object information in real areas. It is hard to define specific threshold values for the identification of shadow areas with
Zhanjun He +4 more
doaj +1 more source
IET Computer Vision, 2018 Shadow features such as colour ratio, texture, and chromaticity have proved to be quite effective in shadow detection. Many shadow detection methods have been proposed on the basis of different features.
Liangqiong Qu +4 more
doaj +1 more source
Shadow detection with multi-feature fusion and MMSE optimization
Dianzi Jishu Yingyong, 2018 In order to reduce the interference of shadow to detection results of moving targets, a shadow detection method is proposed, which can be made as the post-processing step of motion detection methods.
Zhang Han, Yan Huaiping, Zhang Zhan
doaj +1 more source
ANISOTROPIC SCATTERING SHADOW COMPENSATION METHOD FOR REMOTE SENSING IMAGE WITH CONSIDERATION OF TERRAIN [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 With the rapid development of sensor networks and earth observation technology, a large quantity of high resolution remote sensing data is available. However, the influence of shadow has become increasingly greater due to the higher resolution shows more
Q. Wang, L. Yan
doaj +1 more source
ORTHOPHOTO SHADOW DETECTION METHOD UNDER ARTIFICIAL SHADOW [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Shadows are ubiquitous in high-resolution images, especially in urban regions where there are more serious shadow occlusions. In order to improve the detection effect of shadows, this paper analyzes the characteristics and properties of shadows in ...
W. X. Zhang +6 more
doaj +1 more source
Detecting moving shadows: algorithms and evaluation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003 Moving shadows need careful consideration in the development of robust dynamic scene analysis systems. Moving shadow detection is critical for accurate object detection in video streams since shadow points are often misclassified as object points, causing errors in segmentation and tracking.
Andrea Prati 0001 +3 more
openaire +6 more sources