27 January 2018 Method of radiometric quality assessment of NIR images acquired with a custom sensor mounted on an unmanned aerial vehicle
Author Affiliations +
Abstract
Unmanned aerial vehicles are suited to various photogrammetry and remote sensing missions. Such platforms are equipped with various optoelectronic sensors imaging in the visible and infrared spectral ranges and also thermal sensors. Nowadays, near-infrared (NIR) images acquired from low altitudes are often used for producing orthophoto maps for precision agriculture among other things. One major problem results from the application of low-cost custom and compact NIR cameras with wide-angle lenses introducing vignetting. In numerous cases, such cameras acquire low radiometric quality images depending on the lighting conditions. The paper presents a method of radiometric quality assessment of low-altitude NIR imagery data from a custom sensor. The method utilizes statistical analysis of NIR images. The data used for the analyses were acquired from various altitudes in various weather and lighting conditions. An objective NIR imagery quality index was determined as a result of the research. The results obtained using this index enabled the classification of images into three categories: good, medium, and low radiometric quality. The classification makes it possible to determine the a priori error of the acquired images and assess whether a rerun of the photogrammetric flight is necessary.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Damian Wierzbicki, Anna Fryskowska, Michal Kedzierski, Michalina Wojtkowska, Paulina Delis, "Method of radiometric quality assessment of NIR images acquired with a custom sensor mounted on an unmanned aerial vehicle," Journal of Applied Remote Sensing 12(1), 015008 (27 January 2018). https://doi.org/10.1117/1.JRS.12.015008 . Submission: Received: 25 July 2017; Accepted: 5 January 2018
Received: 25 July 2017; Accepted: 5 January 2018; Published: 27 January 2018
JOURNAL ARTICLE
18 PAGES


SHARE
Back to Top