Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Background estimation in multispectral imagery

Not Accessible

Your library or personal account may give you access

Abstract

A machine learning framework is employed for estimating the background spectrum at a pixel of interest using pixel values in an annular neighborhood of that pixel.

© 2019 The Author(s)

PDF Article
More Like This
Deep Learning Estimation of Modified Zernike Coefficients from Multispectral Imagery in Turbulence

Abu Bucker Siddik, Steven Sandoval, David Voelz, Laura E Boucheron, and Luis Varela
PTu3F.4 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2023

Use of Imaging Spectrometer Data and Multispectral Imagery for Improved Earthquake Response

Fred A. Kruse, Chris C. Clasen, Angela M. Kim, and Sarah C. Carlisle
RM2E.1 Optical Remote Sensing of the Environment (ORS) 2012

Extraction of Rooftops from LiDAR and Multispectral Imagery

Angela M. Kim, Fred A. Kruse, Richard C. Olsen, and Chris C. Clasen
RTu2E.1 Optical Remote Sensing of the Environment (ORS) 2012

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved