Results 41 to 50 of about 9,227 (304)

RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision

International Journal of Applied Earth Observations and Geoinformation, 2023
Zero-shot remote sensing scene classification aims to solve the scene classification problem on unseen categories and has attracted numerous research attention in the remote sensing field.
Xiang Li, Congcong Wen, Yuan Hu, Nan Zhou   +3 more
doaj   +1 more source

Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

IEEE Access, 2021
An automatic classification of fine art images is limited by the scarcity of high-quality labels made by art experts. This study aims to provide meaningful automatic labeling of fine art paintings (machine labeling) without the need for human annotation.
Catherine Sandoval, Elena Pirogova, Margaret Lech   +2 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Learning from label proportions for SAR image classification

EURASIP Journal on Advances in Signal Processing, 2017
Synthetic aperture radar (SAR) image classification plays a key role in SAR interpretation. Due to the cost and difficulty of truth labeling for SAR images, the newly labeled samples available for image classification are very limited. This paper focuses
Yongke Ding, Yuanxiang Li, Wenxian Yu
doaj   +1 more source

CLASSIFICATION OF MLS POINT CLOUDS IN URBAN SCENES USING DETRENDED GEOMETRIC FEATURES FROM SUPERVOXEL-BASED LOCAL CONTEXTS [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
In this work, we propose a classification method designed for the labeling of MLS point clouds, with detrended geometric features extracted from the points of the supervoxel-based local context.
Z. Sun, Y. Xu, L. Hoegner, U. Stilla
doaj   +1 more source

Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Mapping different types of sea ice that form, grow, and melt in polar oceans is essential for shipping navigation, climate change modeling, and local community safety.
Mingzhe Jiang, David A. Clausi, Linlin Xu   +2 more
doaj   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Detection-based object labeling in 3D scenes [PDF]

2012 IEEE International Conference on Robotics and Automation, 2012
We propose a view-based approach for labeling objects in 3D scenes reconstructed from RGB-D (color+depth) videos. We utilize sliding window detectors trained from object views to assign class probabilities to pixels in every RGB-D frame. These probabilities are projected into the reconstructed 3D scene and integrated using a voxel representation.
Kevin Lai 0001, Liefeng Bo, Xiaofeng Ren, Dieter Fox   +3 more
openaire   +1 more source

The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Accepted by CVPR ...
Lin Li 0065, Long Chen 0016, Yifeng Huang, Zhimeng Zhang, Songyang Zhang 0004, Jun Xiao 0001   +5 more
openaire   +2 more sources

Robust Object Categorization and Scene Classification over Remote Sensing Images via Features Fusion and Fully Convolutional Network

Remote Sensing, 2022
The latest visionary technologies have made an evident impact on remote sensing scene classification. Scene classification is one of the most challenging yet important tasks in understanding high-resolution aerial and remote sensing scenes.
Yazeed Yasin Ghadi, Adnan Ahmed Rafique, Tamara al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Jeongmin Park   +5 more
doaj   +1 more source