Comparison of Land Vehicle Target Detection Performance in Field Observation, Photosimulation and Videosimulation

被引:0
|
作者
Messina, Ryan [1 ]
Wheaton, Vivienne C. [1 ]
Meehan, Alaster [1 ]
Culpepper, Joanne B. [1 ]
机构
[1] Def Sci & Technol Grp, 506 Lorimer St, Port Melbourne, Vic, Australia
来源
关键词
Visible signature; photosimulation; target detection;
D O I
10.1117/12.2538343
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Photosimulation is a widely used method for target detection experimentation. In the defence context, such experiments are often developed in order to derive measures for the effectiveness of camouflage techniques in the field. This assumes that there is a strong link between photosimulation performance and field performance. In this paper, we report on a three stage experiment exploring that link. First, a field experiment was conducted where observers performed a search and detection task seeking vehicles in a natural environment, simultaneously with image and video capture of the scene. Next, the still images were used in a photosimulation experiment, followed by a videosimulation experiment using the captured video. Analysis of the photosimulation results has shown that there is moderate linear correlation between field and photosimulation detection results (Pearson Correlation Coefficient, PCC = 0.64), but photosimulation results only moderately fit the field observation results, with a reduced chi(2) statistic of 1.996. Detectability of targets in the field was, mostly, slightly higher than in photosimulation. Analysis of the videosimulation results using videos of stationary and moving targets has also shown moderate correlation with field observation results (PCC = 0.62), but these are a better fit with the field observation results, with a reduced chi(2) statistic of 1.45. However, when considering videos of moving targets and videos of stationary targets separately, there appear to be two distinct trends, with videosimulation detection results being routinely higher for moving targets than the field observation results, while for stationary targets, the videosimulation detection results are mostly lower than the field observation, similar to the trend noted in the photosimulation results. There were too few moving target videos to confidently perform a fit, but the fit statistics for the stationary target videos becomes similar to that of the photosimulation, having a reduced chi(2) = 1.897.
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页数:11
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  • [1] Comparison of Maritime Target Detection in Field Observation, Photosimulation and Videosimulation
    Culpepper, Joanne B.
    Messina, Ryan
    Wheaton, Vivienne C.
    [J]. TARGET AND BACKGROUND SIGNATURES VI, 2020, 11536
  • [2] Field Observation, Photosimulation and Videosimulation of Target Detection in Maritime Environments: Update
    Messina, Ryan
    Culpepper, Joanne B.
    [J]. TARGET AND BACKGROUND SIGNATURES VII, 2021, 11865
  • [3] Performance comparison of target maneuver onset detection algorithms
    Ru, JF
    Bashi, A
    Li, XR
    [J]. SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2004, 2004, 5428 : 419 - 428
  • [4] VEHICLE LOCATING BY FIELD DETECTION IN SMALL-CELL LAND MOBILE SYSTEM
    NAGATSU, T
    [J]. REVIEW OF THE ELECTRICAL COMMUNICATIONS LABORATORIES, 1973, 21 (11-1): : 830 - 842
  • [5] A Performance Comparison of Land-Based Floating Debris Detection Based on Deep Learning and Its Field Applications
    Bak, Suho
    Jang, Seon Woong
    Kim, Heung-Min
    Kim, Tak-Young
    Ye, Geon Hui
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2023, 39 (02) : 193 - 205
  • [6] Performance comparison of feature extraction algorithms for target detection and classification
    Bahrampour, Soheil
    Ray, Asok
    Sarkar, Soumalya
    Damarla, Thyagaraju
    Nasrabadi, Nasser M.
    [J]. PATTERN RECOGNITION LETTERS, 2013, 34 (16) : 2126 - 2134
  • [7] A Target Detection Model Predicting Field Observer Performance in Maritime Scenes
    Culpepper, Joanne B.
    Wheaton, Vivienne C.
    [J]. ELECTRO-OPTICAL AND INFRARED SYSTEMS: TECHNOLOGY AND APPLICATIONS XI, 2014, 9249
  • [8] COMPARISON OF BIFOCAL AND PROGRESSIVE ADDITION LENSES ON AVIATOR TARGET DETECTION PERFORMANCE
    MARKOVITS, AS
    REDDIX, MD
    OCONNELL, SR
    COLLYER, PD
    [J]. AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 1995, 66 (04): : 303 - 308
  • [9] Performance comparison of hyperspectral target detection algorithms in altitude varying scenes
    Cisz, AP
    Schott, JR
    [J]. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, 5806 : 839 - 849
  • [10] Comparison of Target Detection Performance for Radiance and Reflectance Domain in VNIR Hyperspectral Images
    Ozdil, Omer
    Gunes, Ahmet
    Esin, Yunus Emre
    Demirel, Berkan
    Ozturk, Safak
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 2186 - 2189