摘要
针对我国西部高原湖区资源卫星遥感监测与应用需求,开展资源一号02C星(ZY-1 02C)图像水体信息提取方法研究。用归一化植被指数和归一化差异水体指数进行龙羊峡库区水体信息提取,并将二者结合,提出决策树水体信息提取方法。以人工解译的水体区域为参考,对水体区域的整体提取结果、细节提取结果和误提取率进行统计和对比分析。实验结果表明,NDVI法易受到薄云的影响,但受冰雪和地形的影响较小;NDWI法在冰雪、薄云和山体阴影等成像条件下会受到不同程度的影响;决策树法虽然受山体阴影等地形的影响较大,但是能有效地消除冰雪和薄云等气候环境的干扰。
Taking into consideration the needs of the remote sensing monitoring and application with Chinese resource satellite in west highland lakes, the authors carried out research on water extraction method by using ZY-1 02C satellite images. The two traditional spectral indexes i. e. , the normalized difference vegetation index（NDVI） and the normalized differential water index（ NDWI） , were used to extract the water bodies in Longyangxia reservoir and, by combining these two kinds of water extraction method, a decision tree water extraction method was presented in this paper. Taking the manual interpretation of the water region as the reference,the authors used the overall area of the water extraction results, the detail extraction and the rate of error extraction results to make statistic and comparative analysis. The experimental results show that the NDVI method is susceptible to the influence of thin cloud, but is less affected by snow and terrain. Under the imaging conditions of snow,thin cloud and mountain shadows,the NDWI method is subject to different degrees of impact. In spite of the fact that it is susceptible to mountain terrain effects such as shadows,the method of the decision tree can effectively eliminate the interference of climate conditions such as snow and thin cloud.
出处
《国土资源遥感》
CSCD
北大核心
2014年第2期43-47,共5页
Remote Sensing for Land & Resources
基金
水利部公益性行业科研专项经费项目(编号:201001046)资助
