对于沿岸水体, 传感器接收到的水体辐射信号受到沿岸陆地高反射率的影响, 图像对比度降低, 邻近效应影响显著。有效剔除大气衰减和邻近效应, 准确获取水体表面反射率, 是水色遥感定量反演的重要前提。基于2016年4月29日太湖沿岸水体的实测光谱数据与同步过境的高分一号宽覆盖相机(GF-1/WFV)影像, 使用6S模型剔除大气衰减的影响, 并使用核函数表达大气点扩展函数, 进行邻近效应校正。实验结果表明, 邻近效应校正后的图像更清晰, 对比度增大, 水体细节信息更丰富。与6S校正结果相比, 3个同步实测样点的邻近效应校正结果的平均相对误差分别降低了10.8%, 5.24%, 10.39%, 邻近效应校正改进了水面遥感反射率的辐射探测精度。

For coastal waters, the radiation signal received by a sensor is affected by the high reflectance of the terrestrial land, which can result in a reduced image contrast and significant adjacency effect. Eliminating atmospheric attenuation and the adjacency effect and obtaining accurate water surface reflectance are important prerequisites for quantitative water color remote sensing. Based on the in situ spectral data of the coastal waters of Taihu Lake on April 29, 2016 and a synchronous Gaofen-1 wide field of view (GF-1/WFV) image, the 6S model was used to eliminate atmospheric attenuation, and a nuclear function is used to express the atmospheric point spread function to correct the adjacency effect. The experimental results show that the image after correcting the adjacency effect is clearer with an increased contrast and more abundant information regarding the water body. Compared with the correction results of the 6S model, the average relative errors of the three in situ synchronous samples after correcting the adjacency effect are reduced by 10.8%, 5.24%, and 10.39%, respectively. Correcting the adjacency effect improves the accuracy of radiation detection of the remote sensing reflectance above water surface.