Results 91 to 100 of about 3,600 (211)
Incorporating Superpixel Context for Extracting Building From High-Resolution Remote Sensing Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingExtracting building from high-resolution (HR) remote sensing imagery (RSI) serves a variety of areas, such as smart city, environment management, and emergency disaster services.
Fang Fang +6 more
doaj +1 more source
Superpixel-Based Classification Using K Distribution and Spatial Context for Polarimetric SAR Images
Remote Sensing, 2016 Classification techniques play an important role in the analysis of polarimetric synthetic aperture radar (PolSAR) images. PolSAR image classification is widely used in the fields of information extraction and scene interpretation or is performed as a ...
Qiao Xu +3 more
doaj +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
Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015 Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda +3 more
openaire +2 more sources
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang +4 more
wiley +1 more source
Remote Sensing, 2019 The high interior heterogeneity of land surface covers in high-resolution image of coastal cities makes classification challenging. To meet this challenge, a Multi-Scale Superpixels-based Classification method using Optimized Spectral−Spatial ...
Aizhu Zhang +8 more
doaj +1 more source
Transfert de couleurs basé superpixels
, 2017 Groupe d'Études du Traitement du Signal et des Images (GRETSI)International audienceDans ce travail, nous présentons une méthode rapide de transfert de couleurs basé superpixels entre deux images. Nous proposons un algorithme de recherche de plus proches
Papadakis, Nicolas +2 more
core +1 more source
Wound Repair and Regeneration, Volume 34, Issue 1, January/February 2026.ABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
David Reifs +3 more
wiley +1 more source
Superpixels are becoming increasingly popular for use in computer vision applications. However, there are few algorithms that output a desired number of regular, compact superpixels with a low computational overhead.
Lucchi, Aurélien +5 more
core
Automatic inventory of retaining walls from aerial lidar data using 3D deep learning
Civil Engineering Design, Volume 7, Issue 4, Page 178-189, December 2025.Abstract Infrastructure management along highways and railways requires inventories of critical structures like retaining walls, which traditionally rely on manual inspection and documentation. Unfortunately, data in infrastructure databases is often incomplete.
Ivo Gasparini +2 more
wiley +1 more source