Journal of Geo-information Science, Volume. 22, Issue 10, 1959(2020)

Adaptive Threshold for Surface Shadow Detection of Black and Odor Water

Jiafeng XU... Yunmei LI*, Jie XU, Shaohua LEI, Shun BI and Ling ZHOU |Show fewer author(s)
Author Affiliations
  • Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
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    Figures & Tables(17)
    The geographical location and surrounding environment of the study area
    Example of sampling point collection
    Spectral characteristics of non-shadow water, shadow and vegetation on water surface
    The scatter diagram of reflectance at 666 nm/791 nm and 492 nm
    Umbra, penumbra, non-shadow water image and reflectance spectral comparison
    The process of surface shadow detection
    The shadow detection result of test scenario 1
    The shadow detection result of test scenario 2
    The shadow detection result of test scenario 3
    The shadow detection result of test scenario 4
    Building shadow and tree shadow recognition effect
    Analysis on the effect of floating objects on water shadow detection
    The results of shadow detection when divided into 2 and 3 categories
    Black and odor water recognition result in test scenario 3 before and after shadow mask
    • Table 1. Main technical parameters of the instrument and equipment

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      Table 1. Main technical parameters of the instrument and equipment

      序号仪器设备名称主要技术指标
      1大疆M600 pro多旋翼无人机旋翼数量:6个轴距:1133 mm起飞重量:15.5 kg最大载荷:6 kg 最大水平飞行速度:65 km/h(无风环境)最大续航时间:60 min(空载)18 min(5.5 kg载重)实用升限:4500 m
      2ZK-VNIR-FPG480机载高光谱成像仪光谱范围:400~1000 nm光谱分辨率:2.8 nm光谱通道数:270个空间通道数:480个空间分辨率:0.08 m(120 m高度)(35 mm镜头)视场角:26°A/D转换:12 bits最大帧频:100 fps数据接口:GigE最大功耗:20 W外形尺寸:310×87×87 mm重量:2.2 kg成像方式:采用外置推扫连续成像,采集画幅无限制,扫描路线一次成图,影像无畸变
    • Table 2. Accuracy evaluation of each test scenario

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      Table 2. Accuracy evaluation of each test scenario

      区域生产者精度用户精度总体精度Kappa系数
      ηs/%ηn/%ps/%pn/%τ/%
      测试场景185.2782.8993.2567.0086.890.83
      测试场景289.5782.2689.0582.9887.300.88
      测试场景385.7095.2296.7491.7890.380.95
      测试场景490.0496.4984.5691.1588.610.92
    • Table 3. The pixel proportion of black and odor water identified before and after shadow extraction

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      Table 3. The pixel proportion of black and odor water identified before and after shadow extraction

      测试场景阴影提取前阴影提取后
      黑臭水体像元数/个正常水体像元数/个黑臭像元占比/%正常水体像元占比/%黑臭水体像元数/个正常水体像元数/个黑臭像元占比/%正常水体像元占比/%
      测试场景116 859562274.9925.01723514098.101.90
      测试场景227 202745078.5021.5013 04011299.150.85
      测试场景313 61212 88551.3748.6310 44553395.144.86
      测试场景417 827610674.4925.5112 13092892.897.11
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    Jiafeng XU, Yunmei LI, Jie XU, Shaohua LEI, Shun BI, Ling ZHOU. Adaptive Threshold for Surface Shadow Detection of Black and Odor Water[J]. Journal of Geo-information Science, 2020, 22(10): 1959

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    Paper Information

    Received: Sep. 4, 2019

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: LI Yunmei (liyunmei@njnu.edu.cn)

    DOI:10.12082/dqxxkx.2020.190489

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