Multi-objective optimization of crude oil-supply portfolio based on interval prediction data
The optimization of crude oil-supply portfolio is a hot research issue in energy security,
which is closely related to the implementation of national strategy and development of …
which is closely related to the implementation of national strategy and development of …
Extraction of tree crowns damaged by Dendrolimus tabulaeformis Tsai et Liu via spectral-spatial classification using UAV-based hyperspectral images
N Zhang, Y Wang, X Zhang - Plant Methods, 2020 - Springer
Background Tree crown extraction is an important research topic in forest resource
monitoring. In particular, it is a prerequisite for disease detection and mapping the degree of …
monitoring. In particular, it is a prerequisite for disease detection and mapping the degree of …
Drivers analysis and empirical mode decomposition based forecasting of energy consumption structure
C Xia, Z Wang - Journal of Cleaner Production, 2020 - Elsevier
This study is meant to investigate the main driving factors of energy consumption structure
(ECS) in China and construct a hybrid prediction model with higher accuracy. In this paper …
(ECS) in China and construct a hybrid prediction model with higher accuracy. In this paper …
DIBS: Distance-and intensity-based separation filter for high-density impulse noise removal
Noise is an unwanted element that degrades the quality of digital images. Salt and pepper
noise is a type of noise that is introduced in one or more steps during image acquisition …
noise is a type of noise that is introduced in one or more steps during image acquisition …
A two-stage algorithm for the detection and removal of random-valued impulse noise based on local similarity
C Lin, Y Li, S Feng, M Huang - IEEE Access, 2020 - ieeexplore.ieee.org
A two-stage denoising algorithm based on local similarity is proposed to process lowly and
moderate corrupted images with random-valued impulse noise in this paper. In the noise …
moderate corrupted images with random-valued impulse noise in this paper. In the noise …
Multiclass CNN-based adaptive optimized filter for removal of impulse noise from digital images
Multiclass CNN-based window adaptive optimized filter has been proposed in this research
work to remove impulse noise from colored images. Instead of applying adaptive filter on the …
work to remove impulse noise from colored images. Instead of applying adaptive filter on the …
Salt and pepper noise removal method based on a detail-aware filter
H Liang, N Li, S Zhao - Symmetry, 2021 - mdpi.com
The median-type filter is an effective technique to remove salt and pepper (SAP) noise;
however, such a mechanism cannot always effectively remove noise and preserve details …
however, such a mechanism cannot always effectively remove noise and preserve details …
Anisotropic diffusion filtering through multi-objective optimization
Images are often corrupted by noise during their process of acquisition, storage and
transmission. This alteration usually deteriorates the perception quality of the image. The …
transmission. This alteration usually deteriorates the perception quality of the image. The …
Adaptive side window joint bilateral filter
PC Zhou, Y Xue, MG Xue - The Visual Computer, 2023 - Springer
Edge-preserving image smoothing is a fundamental step for many computer vision
problems, and so far, countless algorithms have been proposed. Among these algorithms …
problems, and so far, countless algorithms have been proposed. Among these algorithms …
An adaptive multi-scale point cloud filtering method for feature information retention
Z Lian, Y Gu, K You, X Xie, G Qiu - Optics and Lasers in Engineering, 2024 - Elsevier
Point cloud data is often accompanied by a large number of noise and outliers, to improve
the quality of point cloud data, this paper proposes a multi-scale point cloud filtering method …
the quality of point cloud data, this paper proposes a multi-scale point cloud filtering method …