Results 91 to 100 of about 4,342 (209)
Advancing Photonic Inverse Design with Interpretable Machine Learning
Advanced Photonics Research, Volume 7, Issue 5, May 2026.The work applies the interpretable machine learning technique called LIME (local interpretable model‐agnostic explanations) to the inverse design of photonic chips, revealing hidden optimization patterns and guiding better starting designs. Using insights from LIME improves performance of two‐mode multiplexers, showing interpretable methods can ...
Lirandë Pira +5 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 +1 more source
Remote Sensing, 2019 Deep learning architectures have received much attention in recent years demonstrating state-of-the-art performance in several segmentation, classification and other computer vision tasks.
Maria Papadomanolaki +2 more
doaj +1 more source
The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation
Remote Sensing, 2018 The outlining of agricultural land is an important task for obtaining primary information used to create agricultural policies, estimate subsidies and agricultural insurance, and update agricultural geographical databases, among others.
Angel Garcia-Pedrero +3 more
doaj +1 more source
Superpixels algorithms through network community detection
, 2023 Community detection is a powerful tool from complex networks analysis that finds applications in various research areas. Several image segmentation methods rely for instance on community detection algorithms as a black box in order to compute ...
Perez, Anthony
core
Remote Sensing, 2018 Image over-segmentation aims to partition an image into spatially adjacent and spectrally homogeneous regions. It could reduce the complexity of image representation and enhance the efficiency of subsequent image processing.
Hong Tang, Xuejun Zhai, Wei Huang
doaj +1 more source
Décomposition en superpixels via l’utilisation de chemin linéaire
, 2017 Groupe d'Études du Traitement du Signal et des Images (GRETSI)National audiencePour la plupart des méthodes de décomposition en superpixels, un compromis est calculé entre : 1) la régularité de la décomposition, 2) l’homogénéité couleur des superpixels ...
Papadakis, Nicolas +2 more
core +2 more sources
Adaptive Improved GCNs and SAM Superpixels for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) classification with limited training samples is a challenging problem. According to recent results, effectively exploiting the spatial–spectral information of the HSI is crucial for HSI classification, even when the ...
Lei Wang, Wen-Sheng Zhu, Shi-Wen Deng
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
SuperBE: computationally light background estimation with superpixels
, 2018 This paper presents a motion-based superpixel-level background estimation algorithm that aims to be competitively accurate while requiring less computation time for background modelling and updating.
Morteza Biglari-Abhari +5 more
core +1 more source