论文部分内容阅读
本文以天津市蓟县城北于桥水库的Landsat 8 OLI影像为例,通过研究水体与其他地物在各个波段的波谱特征的差异,基于其他学者的研究,提出了一种利用遥感影像的绿光(Green)、红光(Red)、近红外(NIR)、短红外(SWIR 1)波段进行波段运算,通过设置合理的阈值,得到水体信息。实验结果证明,该方法不仅能够像水体指数(NDWI)、归一化差异水体指数(MNDWI)、修订型水体指数(RNDWI)一样对水体提取的精度达到90%以上,而且相比于其他方法改进水体指数(ANDWI)对细小地物提取效果更好。
Taking Landsat 8 OLI image of Beiyuqiao Reservoir in Ji County, Tianjin as an example, this paper studies the differences of spectral features between water bodies and other features in each band based on the study of other scholars. Green, Red, NIR and SWIR 1 bands. By setting a reasonable threshold, the water body information can be obtained. The experimental results show that this method can not only improve the accuracy of water extraction more than 90% like NDWI, MNDWI and RNDWI, but also improve compared with other methods ANDWI is better at extracting small features.