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第 38 卷 第 4 期         荆丹翔等: 基于成像声呐 DIDSON 的水域内鱼群数量估计方法                                       711


             置于水下0.3 m 处时,共会产生 0.72 m 的探测盲区。                       fish[J]. Canadian Journal of Fisheries & Aquatic Sciences,
             其次,当水深超过声呐探测极限距离时,水底也存在                               1992, 49(10): 2179–2189.
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             匀分布下的状态。针对本试验中的声呐,鱼类体长                              [6] 陈星辰, 陈斌. 双频识别声呐水下影像监测系统及其应用 [J].
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                                                                   Chen Xingchen, Chen Bin. Dual-frequency identification
             长过小的鱼成像在声呐图像上容易被当成噪声滤
                                                                   sonar underwater image monitoring system and its appli-
             除,体长过大的鱼在视场近端时,成像容易被割断造                               cation[J]. China Water Power & Electrification, 2015(11):
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                                                                   chinook salmon redds in the columbia river with a dual-
             理估算了整片水域中的鱼群数量,对于目标跟踪及                                frequency identification sonar[J]. North American Journal
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                 (2) 为了去除声呐系统特有的斑点噪声,设计                            87(4): 762–781.
             了固定数据窗口的迭代最小二乘算法。为了有效提                             [12] Padmavathi G, Subashini P, Kumar M, et al. Compari-
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             取复杂背景中的目标,设计了基于三倍标准差准则
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                 (3) 通过对滴水湖的走航探测,估算出了整片                         [13] Lee K J, Sung H, Park E, et al. Joint optimization for one
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             结果显示目标统计偏差在 10% 左右,相对于回波探                             3671–3681.
             测法精度得到了很大提高。                                       [14] Ding F, Xiao Y. A finite-data-window least squares al-
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