Real-time middle wave infrared aerial image capturing and stitching system for vegetation observation

Chun Fu Lin, Sheng-Fuu Lin, Wen Jyi Hwang, Yung Hsiang Chen, Chi Hung Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Over the last decades, several studies have demonstrated the reflectance effectiveness of middle wave infrared (MWIR) for discriminating among different types of vegetation, and estimating the total and leaf biomass of several forest ecosystems. Therefore, a MWIR aerial image capturing system for vegetation observation is urgently required. Furthermore, stitching those MWIR aerial images together is necessary for a panorama of the region of interest (ROI). Most traditional stitching algorithms for aerial images are designed for visible images, and are not suitable for infrared images that are noisy, blurry, or lack detail. In this paper, a novel real-time MWIR aerial image capturing and stitching system for vegetation observation is proposed. The proposed stitching algorithm for aerial infrared images improved from scale invariant feature transform (SIFT) and random M-least square can find a sufficient number of feature points easily and perform rapid calculations. Therefore, the proposed MWIR aerial image capturing and stitching system for vegetation observation can operate in real time.

Original languageEnglish
Title of host publication2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow
Subtitle of host publicationProviding a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1008-1013
Number of pages6
ISBN (Electronic)9781479961139
DOIs
StatePublished - 6 Jul 2015
Event2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 - Pisa, Italy
Duration: 11 May 201514 May 2015

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
Volume2015-July
ISSN (Print)1091-5281

Conference

Conference2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015
CountryItaly
CityPisa
Period11/05/1514/05/15

Keywords

  • Capturing system
  • MWIR
  • Real-time
  • Stitching

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    Lin, C. F., Lin, S-F., Hwang, W. J., Chen, Y. H., & Hwang, C. H. (2015). Real-time middle wave infrared aerial image capturing and stitching system for vegetation observation. In 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings (pp. 1008-1013). [7151408] (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2MTC.2015.7151408