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 Citation (Scopus)

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
Volume2015-July
ISBN (Electronic)9781479961139
DOIs
Publication statusPublished - 2015 Jan 1
Event2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 - Pisa, Italy
Duration: 2015 May 112015 May 14

Other

Other2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015
CountryItaly
CityPisa
Period15/5/1115/5/14

Keywords

  • Capturing system
  • MWIR
  • Real-time
  • Stitching

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    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 (Vol. 2015-July, pp. 1008-1013). [7151408] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2MTC.2015.7151408