Multi-Sensor Assessment of the Effects of Varying Processing Parameters on UAS Product Accuracy and Quality

There is a growing demand for the collection of ultra-high spatial resolution imagery using unmanned aerial systems (UASs). UASs are a cost-effective solution for data collection on small scales and can fly at much lower altitudes, thus yielding spatial resolutions not previously achievable with man...

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Published inDrones (Basel) Vol. 3; no. 3; p. 63
Main Authors Pricope, Narcisa G., Mapes, Kerry L., Woodward, Kyle D., Olsen, Steele F., Baxley, J. Britton
Format Journal Article
LanguageEnglish
Published MDPI AG 01.09.2019
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Abstract There is a growing demand for the collection of ultra-high spatial resolution imagery using unmanned aerial systems (UASs). UASs are a cost-effective solution for data collection on small scales and can fly at much lower altitudes, thus yielding spatial resolutions not previously achievable with manned aircraft or satellites. The use of commercially available software for image processing has also become commonplace due to the relative ease at which imagery can be processed and the minimal knowledge of traditional photogrammetric processes required by users. Commercially available software such as AgiSoft Photoscan and Pix4Dmapper Pro are capable of generating the high-quality data that are in demand for environmental remote sensing applications. We quantitatively assess the implications of processing parameter decision-making on UAS product accuracy and quality for orthomosaic and digital surface models for RGB and multispectral imagery. We iterated 40 processing workflows by incrementally varying two key processing parameters in Pix4Dmapper Pro, and conclude that maximizing for the highest intermediate parameters may not always translate into effective final products. We also show that multispectral imagery can effectively be leveraged to derive three-dimensional models of higher quality despite the lower resolution of sensors when compared to RGB imagery, reducing time in the field and the need for multiple flights over the same area when collecting multispectral data is a priority. We conclude that when users plan to use the highest processing parameter values, to ensure quality end-products it is important to increase initial flight coverage in advance.
AbstractList There is a growing demand for the collection of ultra-high spatial resolution imagery using unmanned aerial systems (UASs). UASs are a cost-effective solution for data collection on small scales and can fly at much lower altitudes, thus yielding spatial resolutions not previously achievable with manned aircraft or satellites. The use of commercially available software for image processing has also become commonplace due to the relative ease at which imagery can be processed and the minimal knowledge of traditional photogrammetric processes required by users. Commercially available software such as AgiSoft Photoscan and Pix4Dmapper Pro are capable of generating the high-quality data that are in demand for environmental remote sensing applications. We quantitatively assess the implications of processing parameter decision-making on UAS product accuracy and quality for orthomosaic and digital surface models for RGB and multispectral imagery. We iterated 40 processing workflows by incrementally varying two key processing parameters in Pix4Dmapper Pro, and conclude that maximizing for the highest intermediate parameters may not always translate into effective final products. We also show that multispectral imagery can effectively be leveraged to derive three-dimensional models of higher quality despite the lower resolution of sensors when compared to RGB imagery, reducing time in the field and the need for multiple flights over the same area when collecting multispectral data is a priority. We conclude that when users plan to use the highest processing parameter values, to ensure quality end-products it is important to increase initial flight coverage in advance.
Author Pricope, Narcisa G.
Baxley, J. Britton
Woodward, Kyle D.
Olsen, Steele F.
Mapes, Kerry L.
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Cites_doi 10.1890/120150
10.1109/TGRS.2013.2265295
10.1198/000313002533
10.3390/rs10060908
10.1109/ICCV.2011.6126542
10.14358/PERS.82.6.419
10.1007/11744023_32
10.3390/rs61111051
10.1109/TGRS.2009.2013059
10.3390/rs4061519
10.1016/j.geomorph.2012.08.021
10.1007/s12145-013-0142-2
10.1023/B:VISI.0000029664.99615.94
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References Turner (ref_9) 2014; 52
Gross (ref_5) 2016; 82
Zhou (ref_2) 2009; 47
ref_14
Wallace (ref_3) 2012; 4
ref_13
ref_12
Anderson (ref_4) 2013; 11
Westoby (ref_10) 2012; 179
ref_18
ref_17
ref_16
ref_15
Sona (ref_8) 2014; 7
Lowe (ref_11) 2004; 60
ref_7
Salami (ref_1) 2014; 6
ref_6
Friendly (ref_19) 2002; 56
References_xml – ident: ref_6
– volume: 11
  start-page: 138
  year: 2013
  ident: ref_4
  article-title: Lightweight unmanned aerial vehicles will revolutionize spatial ecology
  publication-title: Front. Ecol. Environ.
  doi: 10.1890/120150
  contributor:
    fullname: Anderson
– volume: 52
  start-page: 2738
  year: 2014
  ident: ref_9
  article-title: Direct georeferencing of ultrahigh-resolution UAV imagery
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2013.2265295
  contributor:
    fullname: Turner
– volume: 56
  start-page: 316
  year: 2002
  ident: ref_19
  article-title: Corrgrams: Exploratory displays for correlation matrices
  publication-title: Am. Stat.
  doi: 10.1198/000313002533
  contributor:
    fullname: Friendly
– ident: ref_7
  doi: 10.3390/rs10060908
– ident: ref_16
– ident: ref_15
– ident: ref_13
  doi: 10.1109/ICCV.2011.6126542
– volume: 82
  start-page: 419
  year: 2016
  ident: ref_5
  article-title: A statistical examination of image stitching software packages or use with unmanned aerial systems
  publication-title: Photogramm. Eng. Remote Sens.
  doi: 10.14358/PERS.82.6.419
  contributor:
    fullname: Gross
– ident: ref_14
– ident: ref_17
– ident: ref_12
  doi: 10.1007/11744023_32
– ident: ref_18
– volume: 6
  start-page: 11051
  year: 2014
  ident: ref_1
  article-title: UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas
  publication-title: Remote Sens.
  doi: 10.3390/rs61111051
  contributor:
    fullname: Salami
– volume: 47
  start-page: 687
  year: 2009
  ident: ref_2
  article-title: Foreword to the Special Issue on Unmanned Airborne Vehicle (UAV) Sensing Systems for Earth Observations
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2009.2013059
  contributor:
    fullname: Zhou
– volume: 4
  start-page: 1519
  year: 2012
  ident: ref_3
  article-title: Development of a UAV-LiDAR System with Application to Forest Inventory
  publication-title: Remote Sens.
  doi: 10.3390/rs4061519
  contributor:
    fullname: Wallace
– volume: 179
  start-page: 300
  year: 2012
  ident: ref_10
  article-title: Structure-from-motion photogrammetry: A low-cost, effective tool for geoscience applications
  publication-title: Geomorphology
  doi: 10.1016/j.geomorph.2012.08.021
  contributor:
    fullname: Westoby
– volume: 7
  start-page: 97
  year: 2014
  ident: ref_8
  article-title: Experimental analysis of different software packages for orientation and digital surface modeling from UAV images
  publication-title: Earth Sci. Inform.
  doi: 10.1007/s12145-013-0142-2
  contributor:
    fullname: Sona
– volume: 60
  start-page: 91
  year: 2004
  ident: ref_11
  article-title: Distinctive image features from scale-invariant keypoints
  publication-title: Int. J. Comput. Vis.
  doi: 10.1023/B:VISI.0000029664.99615.94
  contributor:
    fullname: Lowe
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SubjectTerms fixed-wing
multispectral and RGB imagery
photogrammetric processing workflow
UAS
Title Multi-Sensor Assessment of the Effects of Varying Processing Parameters on UAS Product Accuracy and Quality
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