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Sensors 2015, 15(7), 17453-17469; doi:10.3390/s150717453

A Multispectral Image Creating Method for a New Airborne Four-Camera System with Different Bandpass Filters

1
Key Laboratory of 3D Information Acquisition and Application of Ministry, Capital Normal University, Beijing 100048, China
2
School of Mechanical Engineering & Automation, Beihang University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Academic Editor: Felipe Gonzalez Toro
Received: 28 April 2015 / Revised: 5 July 2015 / Accepted: 6 July 2015 / Published: 20 July 2015
(This article belongs to the Special Issue UAV Sensors for Environmental Monitoring)

Abstract

This paper describes an airborne high resolution four-camera multispectral system which mainly consists of four identical monochrome cameras equipped with four interchangeable bandpass filters. For this multispectral system, an automatic multispectral data composing method was proposed. The homography registration model was chosen, and the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) were used to generate matching points. For the difficult registration problem between visible band images and near-infrared band images in cases lacking manmade objects, we presented an effective method based on the structural characteristics of the system. Experiments show that our method can acquire high quality multispectral images and the band-to-band alignment error of the composed multiple spectral images is less than 2.5 pixels. View Full-Text
Keywords: panchromatic camera; filters; SIFT; RANSAC; registration; multispectral panchromatic camera; filters; SIFT; RANSAC; registration; multispectral
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, H.; Zhang, A.; Hu, S. A Multispectral Image Creating Method for a New Airborne Four-Camera System with Different Bandpass Filters. Sensors 2015, 15, 17453-17469.

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