Results 71 to 80 of about 495 (155)

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

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

Cartographic Generalization of Islands Using Remote Sensing Images for Multiscale Representation

Remote Sensing
The multi-scale representation of remote sensing images provides various levels of image information crucial for decision-making in GIS applications and plays a significant role in information processing, data analysis, and geographic modeling ...
Renzhu Li, Yilang Shen, Wanyue Dai
doaj   +1 more source

Patch-Shuffled Superpixel Synthetic Anomaly Insertion in Autoencoder Foreground Extracted Regions for Improved Visual Anomaly Detection

We propose a self-supervised framework that combines an autoencoder and segmentation model to enhance anomaly detection and segmentation by inserting synthetic anomalies into the foreground regions of normal images.
Rizwan Ali Shah, Hyungwon Kim, Jae-Won Suh, Zain Ul Arifeen   +3 more
core   +1 more source

Multi-scale superpixel-based nearest subspace classifier for mucilage detection from hyperspectral PRISMA data

Hyperspectral imaging has a critical role in observing the Earth's surface, providing images with rich spectral information. As a result, it has become an essential tool for monitoring and addressing environmental issues such as pollution, water balance,
TOKER, KEMAL GÜRKAN, YÜKSEL ERDEM, SENİHA ESEN   +1 more
core   +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

Three-Branch Multiscale Abundance Feature Fusion Network for Hyperspectral Image Change Detection

Hyperspectral image change detection (HCD) plays a vital role in remote sensing observation. Although deep learning-based HCD methods have achieved remarkable progress in recent years, several key challenges remain: first, mixed pixels in HSI hinder ...
Junfei Zhong, Ke Wu, Lina Xu, Zhixuan Zhang   +3 more
core   +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

Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery. [PDF]

Front Plant Sci
Zhang T, Wang D, Chen W.
europepmc   +1 more source