DocumentCode :
720062
Title :
Real-time middle wave infrared aerial image capturing and stitching system for vegetation observation
Author :
Chun-Fu Lin ; Sheng-Fuu Lin ; Wen-Jyi Hwang ; Yung-Hsiang Chen ; Chi-Hung Hwang
Author_Institution :
Nat. Appl. Res. Labs., Instrum. Technol. Res. Center, Taiwan
fYear :
2015
fDate :
11-14 May 2015
Firstpage :
1008
Lastpage :
1013
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.
Keywords :
ecology; forestry; geophysical techniques; image capture; vegetation mapping; MWIR aerial image capturing system; MWIR reflectance effectiveness; ROI; SIFT; aerial infrared image; feature point number; forest ecosystem leaf biomass estimation; forest ecosystem total biomass estimation; middle wave infrared reflectance effectiveness; panorama-of-region-of-interest; random M-least square; real-time MWIR aerial image capturing system; real-time MWIR aerial image stitching system; real-time middle wave infrared aerial image capturing system; real-time middle wave infrared aerial image stitching system; scale invariant feature transform; traditional stitching algorithm; vegetation observation; vegetation type discrimination; visible image; Algorithm design and analysis; Asphalt; Cameras; Laser radar; Real-time systems; Timing; Vegetation mapping; MWIR; capturing system; real-time; stitching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
Conference_Location :
Pisa
Type :
conf
DOI :
10.1109/I2MTC.2015.7151408
Filename :
7151408
Link To Document :
بازگشت