Optimization of methods for image-texture segmentation using ant colony optimization
M Nadipally - Intelligent data analysis for biomedical applications, 2019 - Elsevier
This chapter proposes a novel scheme for texture segmentation based on ant colony
optimization (ACO). Texture segmentation and texture characteristic expression are two …
optimization (ACO). Texture segmentation and texture characteristic expression are two …
Triple-branch ternary-attention mechanism network with deformable 3D convolution for hyperspectral image classification
T Tang, J Liu, X Luo, X Gao, X Pan - International Journal of …, 2022 - Taylor & Francis
In recent years, the classification of hyperspectral images (HSI) has received extensive
research attention. As compared with traditional HSI classification, which only uses spectral …
research attention. As compared with traditional HSI classification, which only uses spectral …
An unsupervised multi-scale segmentation method based on automated parameterization
C Wang, W Xu, X Pei, X Zhou - Arabian Journal of Geosciences, 2016 - Springer
The continuous improvement of the launched satellites' spatial and spectral resolutions has
brought new challenges for remote sensing image segmentation technology. The traditional …
brought new challenges for remote sensing image segmentation technology. The traditional …
Deposit location identification based on feature decomposition of high-resolution remote sensing images
S Tang, J Cao - IEEE Access, 2020 - ieeexplore.ieee.org
In modern mineral exploration applications, remote sensing technologies have been widely
used and affirmed by engineering and mineral industries due to their unique technical …
used and affirmed by engineering and mineral industries due to their unique technical …
Preliminary analytical method for unsupervised remote sensing image classification based on visual perception and a force field
M Cong, J Cui, X Peng, W Ji - Geocarto International, 2018 - Taylor & Francis
The analysis of remote sensing (RS) images, which is often accomplished using
unsupervised image classification techniques, requires an effective method to determine an …
unsupervised image classification techniques, requires an effective method to determine an …