Results 71 to 80 of about 417 (152)

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

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

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

A Selective Semantic Transformer for Spectral Super-Resolution of Multispectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral super-resolution (SSR) is an important research area. It amounts at increasing the spectral resolution of a multispectral image (MSI) with a few spectral bands to obtain a hyperspectral image (HSI) with hundreds of narrow spectral bands.
Chengle Zhou, Zhi He, Guanglin Lai, Antonio Plaza   +3 more
doaj   +1 more source

DSDRN: A Dual-Stream Dual-Refinement Network With Superpixel and Location Semantics for Building Damage Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Building damage assessment aims to rapidly and safely localize buildings in disaster-affected areas and classify damage severity using high-resolution remote sensing imagery acquired by satellites or uncrewed aerial vehicles.
Dawei Wen, Hengyu Wang, Wenxia Gan, Deng Chen, Xinghua Li   +4 more
doaj   +1 more source

Foreground Detection Based on Superpixel and Semantic Segmentation. [PDF]

Comput Intell Neurosci, 2022
Feng J, Liu P, Kim YK.
europepmc   +1 more source

Enhanced Superpixel-Based Multiscale CNN Mechanism for UAV Image Segmentation

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Abstract – Unmanned Aerial Vehicles (UAVs) are advanced remote sensing tools that have the potential to revolutionize variety applications,including environmental monitoring, urban planning, agriculture, and disaster management. These airborne sensors provide high resolution, real-time data used for traditional remote sensing methods often struggle to
openaire   +1 more source

A survey on the utilization of Superpixel image for clustering based image segmentation. [PDF]

Multimed Tools Appl, 2023
Sasmal B, Dhal KG.
europepmc   +1 more source