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Title: Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle

Abstract

During the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral in-flight calibration and characterization experiment of the Resonon PIKA II imaging spectrometer was conducted at the U.S. Department of Energy’s Idaho National Laboratory (INL) UAV Research Park. The purpose of the experiment was to validate the radiometric calibration of the spectrometer and determine the georegistration accuracy achievable from the on-board global positioning system (GPS) and inertial navigation sensors (INS) under operational conditions. In order for low-cost hyperspectral systems to compete with larger systems flown on manned aircraft, they must be able to collect data suitable for quantitative scientific analysis. The results of the in-flight calibration experiment indicate an absolute average agreement of 96.3%, 93.7% and 85.7% for calibration tarps of 56%, 24%, and 2.5% reflectivity, respectively. The achieved planimetric accuracy was 4.6 meters (based on RMSE).

Authors:
 [1];  [2];  [1];  [2]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  2. Idaho State Univ., Boise, ID (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1053204
Report Number(s):
INL/JOU-12-24795
Journal ID: ISSN 2072-4292; PII: rs4092736
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Accepted Manuscript
Journal Name:
Remote Sensing
Additional Journal Information:
Journal Volume: 4; Journal Issue: 12; Journal ID: ISSN 2072-4292
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 42 ENGINEERING; 54 ENVIRONMENTAL SCIENCES; radiometric calibration; geometric correction; hyperspectral; imaging spectrometer; UAV

Citation Formats

Hruska, Ryan, Mitchell, Jessica, Anderson, Matthew, and Glenn, Nancy F. Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle. United States: N. p., 2012. Web. doi:10.3390/rs4092736.
Hruska, Ryan, Mitchell, Jessica, Anderson, Matthew, & Glenn, Nancy F. Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle. United States. doi:10.3390/rs4092736.
Hruska, Ryan, Mitchell, Jessica, Anderson, Matthew, and Glenn, Nancy F. Mon . "Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle". United States. doi:10.3390/rs4092736. https://www.osti.gov/servlets/purl/1053204.
@article{osti_1053204,
title = {Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle},
author = {Hruska, Ryan and Mitchell, Jessica and Anderson, Matthew and Glenn, Nancy F.},
abstractNote = {During the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral in-flight calibration and characterization experiment of the Resonon PIKA II imaging spectrometer was conducted at the U.S. Department of Energy’s Idaho National Laboratory (INL) UAV Research Park. The purpose of the experiment was to validate the radiometric calibration of the spectrometer and determine the georegistration accuracy achievable from the on-board global positioning system (GPS) and inertial navigation sensors (INS) under operational conditions. In order for low-cost hyperspectral systems to compete with larger systems flown on manned aircraft, they must be able to collect data suitable for quantitative scientific analysis. The results of the in-flight calibration experiment indicate an absolute average agreement of 96.3%, 93.7% and 85.7% for calibration tarps of 56%, 24%, and 2.5% reflectivity, respectively. The achieved planimetric accuracy was 4.6 meters (based on RMSE).},
doi = {10.3390/rs4092736},
journal = {Remote Sensing},
number = 12,
volume = 4,
place = {United States},
year = {2012},
month = {9}
}

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Cited by: 49 works
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    Works referencing / citing this record:

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