Journal of Applied Optics, Volume. 43, Issue 5, 886(2022)
Area mapping for water and forest based on satellite hyper-spectral remote sensing
Figures & Tables(13)
Fig. 1. Hyper-spectral cube collected by “OHS-C”(geographical location is E113°36′48′′, N22°45′11′′)
Fig. 2. Location display of sampling points for standard spectra of water, forest and buildings
Fig. 3. Average spectrum and standard deviation of fluctuations of water, forest and buildings
Fig. 5. Relationship diagram between sample number and accuracy rate
Table 1. Brief introduction of “OHS-C” hyper-spectral satellite shooting data
View tableView in ArticleTable 1. Brief introduction of “OHS-C” hyper-spectral satellite shooting data
内容 简介 星号 OHS-C 左上角点经纬 Lon. E113°36′48′′ Lat. N22°45′11′′ 成像时间 2018年9月15日 侧摆角 −10.326° 太阳高度角 62.073° 影像分辨率 5056× 5056 像素 轨道高度 520 km 地物描述 城市、森林、湖泊、海洋 地面分辨率 10 m 数据处理等级 1级 已完成预处理项 相对辐射定标、几何校正
Table 2. Central wavelengths of “OHS-C” hyper-spectral satellite
View tableView in ArticleTable 2. Central wavelengths of “OHS-C” hyper-spectral satellite
通道数 中心波长/nm 通道数 中心波长/nm 1 466 17 716 2 480 18 730 3 500 19 746 4 520 20 760 5 536 21 776 6 550 22 790 7 566 23 806 8 580 24 820 9 596 25 836 10 610 26 850 11 626 27 866 12 640 28 880 13 656 29 896 14 670 30 910 15 686 31 926 16 700 32 940
Table 4. Statistical results of sensitivity and specificity
View tableView in ArticleTable 4. Statistical results of sensitivity and specificity
统计结果 水体 林木 灵敏度 水体 389 11 97.25% 林木 7 423 98.37% 特异性 98.23% 97.47% —
Table 5. Area monitoring of water and forest
View tableView in ArticleTable 5. Area monitoring of water and forest
地物种类 像素点个数 对应面积/km2 水体 12432 650 1243.2650 林木 5113125 511.3125 其他 8017361 801.7361 全图 25563136 2556.3136
Table 6. Verification of surveying and mapping area
View tableView in ArticleTable 6. Verification of surveying and mapping area
地物 总像素 点个数 测绘面 积/km2 实际面 积/km2 面积误 差/km2 西丽 水库 44554 4.4554 4.6 0.1446 淇澳岛 221713 22.1713 23.8（官方统 计绿化程 度90%以上） <0.7513
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Wenrui TANG, Lin MA, Siqi ZHU, Sifan LIN, Longze JIA. Area mapping for water and forest based on satellite hyper-spectral remote sensing[J]. Journal of Applied Optics, 2022, 43(5): 886
Paper Information
Category: OE INFORMATION ACQUISITION AND PROCESSING
Received: Sep. 2, 2021
Accepted: --
Published Online: Oct. 12, 2022
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