Results 81 to 90 of about 118,760 (177)

USNet: underwater image superpixel segmentation via multi-scale water-net

Frontiers in Marine Science
Underwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility.
Chuhong Wang, Chuhong Wang, Wenli Duan, Chengche Luan, Junyan Liang, Lengyu Shen, Hua Li   +6 more
doaj   +1 more source

Hierarchical homogeneity-based superpixel segmentation: application to hyperspectral image analysis [PDF]

International audienceHyperspectral image (HI) analysis approaches have recently become increasingly complex and sophisticated. Recently, the combination of spectral-spatial information and superpixel techniques have addressed some hyperspectral data ...
Almeida, Sérgio, Bermudez, José Carlos, Ayres, Luciano Carvalho, Borsoi, Ricardo Augusto, de Almeida, Sérgio José Melo, Bermudez, José Carlos Moreira   +5 more
core   +1 more source

From Global to Local: A Dual-Branch Structural Feature Extraction Method for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting discriminative spectral-spatial features from hyperspectral images (HSIs) remains a crucial topic within the remote sensing community. However, most feature extraction methods suffer from coarse textures, leading to poor performance in ...
Ying Zhang, Lianhui Liang, Jianxu Mao, Yaonan Wang, Lin Jia   +4 more
doaj   +1 more source

Spatial Multifeature and Dual-Layer Multihop Graph Convolution Networks for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification constitutes a crucial research direction within the domain of remote sensing. Convolutional neural networks (CNNs) and graph convolutional network (GCN) have exhibited outstanding classification performance in ...
Xiangyue Yu, Ning Li, Di Wu, Zheng Li, Zhenyuan Wu, Ximing Ma   +5 more
doaj   +1 more source

Superpixel-driven level set tracking

, 2012
In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly.
Xi Li, Tat-Jun Chin, Li, X., Xue Zhou, Suter, D., Chin, T., Zhou, X., David Suter   +7 more
core   +1 more source

Superpixel-based saliency detection

, 2013
International audienceIn this paper, we propose an effective superpixel-based saliency model. First, the original image is simplified by performing superpixel segmentation and adaptive color quantization.
Luo, Shuhua, Shuhua Luo, Zhi Liu, Liu, Zhi, Le Meur, Olivier, Olivier Le Meur   +5 more
core   +1 more source

Coarse-grained modeling of multiscale diffusions : the p-variation estimates [PDF]

, 2010
We study the problem of estimating parameters of the limiting equation of a multiscale diffusion in the case of averaging and homogenization, given data from the corresponding multiscale system.
Papavasiliou, Anastasia, Anastasia Papavasiliou   +1 more
core   +1 more source

Content-driven superpixels and their applications

, 2013
This thesis develops a new superpixel algorithm that displays excellent visual reconstruction of the original image. It achieves high stability across multiple random initialisations, achieved by producing superpixels directly corresponding to local ...
Lowe, Richard
core   +1 more source

Joint Classification Network via Superpixel-Guided Prototypical Feature for Hyperspectral and LiDAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, convolutional neural networks-based methods have been extensively applied to hyperspectral image (HSI) and light detection and ranging (LiDAR) joint classification.
Yi Yang, Shuzhen Zhang, Hailong Song, Tao Yan   +3 more
doaj   +1 more source

Multiscale Graph Transformer Network With Dynamic Superpixel Pyramid for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification plays a crucial role in remote sensing applications, leveraging the rich spectral and spatial information inherent in HSI. However, the diverse feature scales of ground objects pose challenges for traditional methods, which often employ fixed-scale feature extraction and struggle to adapt dynamically to varying ...
Tingting Wang 0011, Yao Sun, Yunfeng Hu 0003   +2 more
openaire   +3 more sources