Results 91 to 100 of about 118,760 (177)

Superpixel images.

, 2018
Superpixel images.
Unseok Lee (5150504), Sungyul Chang (579208), Hyoungseok Kim (5150501), Gian Anantrio Putra (5150498), Dong Hwan Kim (586776)   +4 more
core   +1 more source

Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning

The Scientific World Journal, 2015
Very high resolution (VHR) image change detection is challenging due to the low discriminative ability of change feature and the difficulty of change decision in utilizing the multilevel contextual information.
Yuan Xu, Kun Ding, Chunlei Huo, Zisha Zhong, Haichang Li, Chunhong Pan   +5 more
doaj   +1 more source

Selection of Grid Road Networks Based on Raster Data

Applied Sciences
In cartography, generalization is a key process used to simplify complex geographic information, making it suitable for display at different scales while maintaining its essential meaning.
Yilang Shen, Yiqing Zhang, Renzhu Li
doaj   +1 more source

Automated Detection of Red Lesions Using Superpixel Multichannel Multifeature

, 2017
Red lesions can be regarded as one of the earliest lesions in diabetic retinopathy (DR) and automatic detection of red lesions plays a critical role in diabetic retinopathy diagnosis.
Wenyou Du, Dali Chen, Chengdong Wu, Yugen Yi, Zhenzhu Wang, Wei Zhou   +5 more
core   +1 more source

DSDGNet: Dual-Scale Dynamic Graph Network for Hyperspectral Image Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) change detection (CD) aims to identify land-cover and land-use changes from bitemporal hyperspectral observations. Although convolutional neural networks (CNNs) have achieved remarkable success in HSI-CD, and graph convolutional
Lifeng Yu, Ruizhe Liu, Xiangfei Xia, Hongmin Gao   +3 more
doaj   +1 more source

Multiscale Gaussian Process-Driven Graph Convolutional Neural Network for Polarimetric SAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative features, has been a valuable topic in polarimetric synthetic ...
Ze-Chen Li, Heng-Chao Li, Jing-Hua Yang, Fan Zhang, Jie Pan   +4 more
doaj   +1 more source

Echogram SLIC superpixel parameters.

, 2018
Echogram SLIC superpixel parameters.
Joseph M. Wheaton (400702), Daniel Buscombe (4962529), Daniel Hamill (4962526)   +2 more
core   +1 more source

Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering. [PDF]

J Med Imaging (Bellingham), 2017
George Y, Aldeen M, Garnavi R.
europepmc   +1 more source

Epithelium and stroma segmentation using multiscale superpixel clustering.

, 2018
Introduction: Accurate image segmentation is essential in quantitative histopathology although challenging due to tissue complexity, heterogeneity and the uncertainty of scene contents.
Landini, Gabriel, Randell, David, Galton, Antony, Fouad, Shereen   +3 more
core   +2 more sources

Superpixel Optimization Using Higher Order Energy

, 2016
A novel superpixel extraction algorithm using a higher order energy optimization framework is proposed in this paper. We first adopt the k-means clustering technique to quickly get an initial superpixel result.
Li, Xuelong, Shen, Jianbing, Yao, Angela, Peng, Jianteng   +3 more
core   +1 more source