Results 41 to 50 of about 6,292,229 (390)

A Building Recognition Method for Multispectral Image Based on Improved FCN [PDF]

open access: yesJisuanji gongcheng, 2019
Building targets in multispectral image have different characteristics at different scales,and the recognition accuracy of traditional Full Convolution Neural network(FCN) is low.Therefore,a building recognition method for multispectral image based on ...
ZHANG Yongmei,FU Haotian,SUN Haiyan,ZHANG Rui,CHEN Lichao,PAN Lihu
doaj   +1 more source

U-Net-Based Multispectral Image Generation From an RGB Image

open access: yesIEEE Access, 2021
Multispectral images have lower spatial resolution than RGB images. It is difficult to obtain multispectral images with both high spatial resolution and high spectral resolution because of expensive capture setup and sophisticated acquisition processes ...
Tao Zeng, Changyu Diao, Dongming Lu
doaj   +1 more source

SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]

open access: yesModelling and Simulation in Science, 2007
In this paper we propose and analyze a globally and locally adaptive super-resolution Bayesian methodology for pansharpening of multispectral images. The methodology incorporates prior knowledge on the expected characteristics of the multispectral images uses the sensor characteristics to model the observation process of both panchromatic and ...
M. Vega   +3 more
openaire   +1 more source

Color Image and Multispectral Image Denoising Using Block Diagonal Representation [PDF]

open access: yesIEEE Transactions on Image Processing, 2019
Filtering images of more than one channel are challenging in terms of both efficiency and effectiveness. By grouping similar patches to utilize the self-similarity and sparse linear approximation of natural images, recent nonlocal and transform-domain ...
Zhaoming Kong, Xiaowei Yang
semanticscholar   +1 more source

PRISMS: a portable multispectral imaging system for remote in situ examination of wall paintings [PDF]

open access: yes, 2008
We present a proto-type portable remote multispectral imaging system, PRISMS (Portable Remote Imaging System for Multispectral Scanning), that is light-weight, flexible and without any cumbersome mechanical structure for in situ high resolution colour ...
Keita, K, Liang, H, Vajzovic, T
core   +1 more source

Dynamic overmodulation strategy based on torque and flux optimal tracking for DTC‐SVM of surface‐mounted PMSM drives

open access: yesIET Power Electronics
Direct torque control with space vector modulation has been increasingly attracting emphasis for permanent‐magnet synchronous machine control, benefiting from a high dynamic response and low torque ripple.
Peihe Li   +4 more
doaj   +1 more source

Unsupervised Transformer Balanced Hashing for Multispectral Remote Sensing Image Retrieval

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
For remote sensing (RS) image retrieval task, hashing technology have been extensively researched in recent works. Unsupervised hashing approaches have attracted much attention in the RS data processing field because label collection takes a lot of time.
Yaxiong Chen   +3 more
doaj   +1 more source

Multispectral Image Processing for Plants [PDF]

open access: yes, 1991
The development of a machine vision system to monitor plant growth and health is one of three essential steps towards establishing an intelligent system capable of accurately assessing the state of a controlled ecological life support system for long ...
Miles, Gaines E.
core   +1 more source

Illuminant estimation in multispectral imaging [PDF]

open access: yesJournal of the Optical Society of America A, 2017
With the advancement in sensor technology, the use of multispectral imaging is gaining wide popularity for computer vision applications. Multispectral imaging is used to achieve better discrimination between the radiance spectra, as compared to the color images. However, it is still sensitive to illumination changes.
Khan, Haris Ahmad   +3 more
openaire   +3 more sources

Convolutional Autoencoder-Based Multispectral Image Fusion

open access: yesIEEE Access, 2019
This paper presents a deep learning-based pansharpening method for fusion of panchromatic and multispectral images in remote sensing applications. This method can be categorized as a component substitution method in which a convolutional autoencoder ...
A. Azarang   +2 more
semanticscholar   +1 more source

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