Results 11 to 20 of about 1,598,510 (299)

Balanced Cloud Shadow Compensation Method in High-Resolution Image Combined with Multi-Level Information

open access: yesApplied Sciences, 2023
As clouds of different thicknesses block sunlight, large areas of cloud shadows with varying brightness can appear on the ground. Cloud shadows in high-resolution remote sensing images lead to uneven loss of image feature information.
Yubin Lei   +5 more
doaj   +1 more source

ORTHOPHOTO SHADOW DETECTION METHOD UNDER ARTIFICIAL SHADOW [PDF]

open access: yesThe 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

KDE-Based Simultaneous Background Model Learning and Entropy-Based Fusion of Cascaded Features for Video Object Segmentation With Shadow Removal

open access: yesIEEE Access, 2023
Object detection with shadow removal is one of the challenging issues in computer vision. Dynamic shadow resembles a moving object’s properties, so separating this shadow from the object is a challenging task. This dynamic shadow if not eliminated,
Subhaluxmi Sahoo, Pradipta Kumar Nanda
doaj   +1 more source

Illumination invariance and shadow compensation on hyperspectral images [PDF]

open access: yes, 2014
To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core   +7 more sources

Cloud and Cloud Shadow Detection of GF-1 Images Based on the Swin-UNet Method

open access: yesAtmosphere, 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

The Features of the Shadow Economy Impact’ on Biomass Energy Sector

open access: yesEnergies, 2022
The shadow economy is a significant factor in impoverishing the economies of countries and unequal operating and competitive conditions distort the market economy system, as opaque parallel activities impoverish socially responsible business units. The biomass energy sector faces this risk because the biomass supply chain is not yet fully secure and ...
Mantas Svazas   +3 more
openaire   +3 more sources

A differential correction based shadow removal method for real-time monitoring.

open access: yesPLoS ONE, 2023
Shadow removal is an important issue in the field of motion object surveillance and automatic control. Although many works are concentrated on this issue, the diverse and similar motion patterns between shadows and objects still severely affect the ...
Sheng Liu   +4 more
doaj   +1 more source

Direction-Aware Spatial Context Features for Shadow Detection [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Shadow detection is a fundamental and challenging task, since it requires an understanding of global image semantics and there are various backgrounds around shadows. This paper presents a novel network for shadow detection by analyzing image context in a direction-aware manner.
Xiaowei Hu 0001   +4 more
openaire   +3 more sources

Facial Image Shadow Removal via Graph-based Feature Fusion

open access: yes, 2023
Despite natural image shadow removal methods have made significant progress, they often perform poorly for facial image due to the unique features of the face.
Chen, Ben   +3 more
core   +1 more source

Multi-Feature Fusion Algorithm in VR Panoramic Image Detail Enhancement Processing

open access: yesIEEE Access, 2020
VR panoramic image is an image technology that covers a wide range of scenes. Its imaging range is much larger than that of traditional imaging systems, and it can fully reflect all the information of the imaging space.
Minling Zhu, Xiaomo Yu
doaj   +1 more source

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