A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: Exemplifying the applicability of the model to the coastal regions in Eastern China Seas (vol 148, pg 168, 2014)

作者：Chen, Jun; Cui, Tingwei; Ishizaka, Joji; Lin, Changsong^*

来源：Remote Sensing of Environment, 2014, 153: 99-103.

DOI：10.1016/j.rse.2014.07.011

• Remote sensing
• Global oceanic and coastal waters
• Neural network
• Diffuse attenuation coefficient

The paper "A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: Exemplifying the applicability of the model to the coastal regions in Eastern China Seas" uses the ratio of water-leaving radiance to downward irradiance multiple by pi as the remote sensing reflectance for NOMAD dataset and the implement routine of diffuse attenuation coefficient retrieval models. Our results indicate that the quasi-analytical algorithm-based semi-analytical model (QSM) and spectrum-based neural network model (SNNM) produce a superior performance to these mentioned in the original paper, but these results do not affect the main conclusions in the original paper.

• 出版日期2014-10
• 单位国家海洋局第一海洋研究所; 青岛海洋地质研究所; 中国地质大学（北京）