Data fusion in data scarce areas using a back-propagation artificial neural network model: a case study of the South China Sea

Data fusion in data scarce areas using a back-propagation artificial neural network model: a case study of the South China Sea
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使用反向传播人工神经网络模型进行数据稀缺区域的数据融合:以南海为例

DOI:
10.1007/s11707-017-0652-1
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发表时间:
2018-05
影响因子:
2
通讯作者:
Zhu Qiankun
Zhu Qiankun
中科院分区:
地球科学3区
文献类型:
--
作者:
Wang Zheng;Mao Zhihua;Xia Junshi;Du Peijun;Shi Liangliang;Huang Haiqing;Wang Tianyu;Gong Fang;Zhu Qiankun

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南海及其沿岸地区全年云量较大,限制了光学遥感的潜在应用。异质结电荷耦合器件(HJ-CCD)具有视场宽、时间分辨率高、重复周期短等优点。然而,该仪器的缺点是仅使用四个质量相对较低的波段,无法充分解析长波长的特征。 Landsat增强型专题制图仪(ETM+)提供了高质量的数据,但是扫描线校正器(SLC)停止工作并导致遥感图像出现条纹,从而大大减少了ETM+数据的覆盖范围。为了结合 HJ-CCD 和 Landsat ETM+ 数据的优点,本研究采用反向传播人工神经网络(BP-ANN)来融合这两种数据类型。结果表明,融合后的输出数据不仅具有HJ-CCD数据完整的优点,而且还具有ETM+数据的多光谱和高辐射分辨率的优点。此外,还从实际应用的角度对融合数据进行了定性、定量分析。实验研究表明,融合数据具有空间分布全、光谱波段多、辐射分辨率高、观测数据与融合输出数据差异小、观测数据与融合数据相关性高等特点。实际应用中的优异表现进一步证明了融合数据的高质量。
The cloud cover for the South China Sea and its coastal area is relatively large throughout the year, which limits the potential application of optical remote sensing. A HJ-charge-coupled device (HJ-CCD) has the advantages of wide field, high temporal resolution, and short repeat cycle. However, this instrument suffers from its use of only four relatively low-quality bands which can’t adequately resolve the features of long wavelengths. The Landsat Enhanced Thematic Mapper-plus (ETM+) provides high-quality data, however, the Scan Line Corrector (SLC) stopped working and caused striping of remote sensed images, which dramatically reduced the coverage of the ETM+ data. In order to combine the advantages of the HJ-CCD and Landsat ETM+ data, we adopted a back-propagation artificial neural network (BP-ANN) to fuse these two data types for this study. The results showed that the fused output data not only have the advantage of data intactness for the HJ-CCD, but also have the advantages of the multi-spectral and high radiometric resolution of the ETM+ data. Moreover, the fused data were analyzed qualitatively, quantitatively and from a practical application point of view. Experimental studies indicated that the fused data have a full spatial distribution, multi-spectral bands, high radiometric resolution, a small difference between the observed and fused output data, and a high correlation between the observed and fused data. The excellent performance in its practical application is a further demonstration that the fused data are of high quality.
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