Results 41 to 50 of about 852,865 (197)

Region Based CNN for Foreign Object Debris Detection on Airfield Pavement

Sensors, 2018
In this paper, a novel algorithm based on convolutional neural network (CNN) is proposed to detect foreign object debris (FOD) based on optical imaging sensors.
Xiaoguang Cao, Peng Wang, Cai Meng, Xiangzhi Bai, Guoping Gong, Miaoming Liu, Jun Qi   +6 more
doaj   +1 more source

Optical classification of images at different wavelengths using spectral diffractive neural networks

Компьютерная оптика
A solution of several different problems of image classification at several different wavelengths using a diffractive neural network (DNN) consisting of sequentially located phase diffractive optical elements (DOEs) is considered.
G.A. Motz, D.V. Soshikov, L.L. Doskolovich, E.V. Byzo, E.A. Bezus, D.A. Bykov   +5 more
doaj   +1 more source

Airport Detection Using End-to-End Convolutional Neural Network with Hard Example Mining

Remote Sensing, 2017
Deep convolutional neural network (CNN) achieves outstanding performance in the field of target detection. As one of the most typical targets in remote sensing images (RSIs), airport has attracted increasing attention in recent years.
Bowen Cai, Zhiguo Jiang, Haopeng Zhang, Danpei Zhao, Yuan Yao   +4 more
doaj   +1 more source

Gradient method for designing cascaded DOEs focusing radiation of different wavelengths

Компьютерная оптика
The design of cascaded diffractive optical elements (DOEs) generating several specified intensity distributions for several incident beams with different wavelengths is considered.
G.A. Motz, D.V. Soshikov, L.L. Doskolovich, E.V. Byzov, E.A. Bezus, D.A. Bykov   +5 more
doaj   +1 more source

Multi-Focus Image Fusion Through Gradient- Based Decision Map Construction and Mathematical Morphology

IEEE Access, 2016
Multi-focus image fusion is an important technique that extracts sharp regions from multiple images and composites them into a fully focused image. In this paper, a novel spatial domain-based fusion algorithm for multi-focus images through gradient-based
Xiangzhi Bai, Miaoming Liu, Zhiguo Chen, Peng Wang, Yu Zhang   +4 more
doaj   +1 more source

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

Remote Sensing, 2016
Physically-based radiative transfer models (RTMs) help understand the interactions of radiation with vegetation and atmosphere. However, advanced RTMs can be computationally burdensome, which makes them impractical in many real applications, especially ...
Jochem Verrelst, Neus Sabater, Juan Pablo Rivera, Jordi Muñoz-Marí, Jorge Vicent, Gustau Camps-Valls, José Moreno   +6 more
doaj   +1 more source

Adaptive Haze Removal for Single Remote Sensing Image

IEEE Access, 2018
Haze is a common phenomenon in remote sensing images, which limits their applications. In this paper, a novel adaptive dehazing method is proposed for remote sensing images. First, a new prior, namely, dark channel-saturation prior, is developed based on
Fengying Xie, Jiajie Chen, Xiaoxi Pan, Zhiguo Jiang   +3 more
doaj   +1 more source

Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery

Remote Sensing
The continuous monitoring of the terrestrial Earth system by a growing number of optical satellite missions provides valuable insights into vegetation and cropland characteristics.
Ana B. Pascual-Venteo, Jose L. Garcia, Katja Berger, José Estévez, Jorge Vicent, Adrián Pérez-Suay, Shari Van Wittenberghe, Jochem Verrelst   +7 more
doaj   +1 more source

Weighted Direct Nonlinear Regression for Effective Image Interpolation

IEEE Access, 2019
This paper proposes a learning-based image interpolation method based on weighted direct nonlinear regression. It attempts to learn the nonlinear relationship between the low-resolution patches and their corresponding high-resolution patches by using an ...
Jieying Zheng, Wanru Song, Yahong Wu, Feng Liu   +3 more
doaj   +1 more source

Quantum image processing? [PDF]

Quantum Information Processing, 2016
28 pages, 11 figures, 1 table. arXiv admin note: text overlap with arXiv:1409.2918, arXiv:1406.5121, arXiv:1408.2427; text overlap with arXiv:quant-ph/0402085 by other ...
openaire   +3 more sources