TY - GEN
T1 - Real-time middle wave infrared aerial image capturing and stitching system for vegetation observation
AU - Lin, Chun Fu
AU - Lin, Sheng Fuu
AU - Hwang, Wen Jyi
AU - Chen, Yung Hsiang
AU - Hwang, Chi Hung
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/6
Y1 - 2015/7/6
N2 - 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.
AB - 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.
KW - Capturing system
KW - MWIR
KW - Real-time
KW - Stitching
UR - http://www.scopus.com/inward/record.url?scp=84938831325&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938831325&partnerID=8YFLogxK
U2 - 10.1109/I2MTC.2015.7151408
DO - 10.1109/I2MTC.2015.7151408
M3 - Conference contribution
AN - SCOPUS:84938831325
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 1008
EP - 1013
BT - 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015
Y2 - 11 May 2015 through 14 May 2015
ER -