基于遥感技术的海岸带土地利用、覆被信息提取方法研究  

Coastal zone land use/cover information extraction method based on RS

作　　者：张安定[1] 王霞[2] 孙云华[1] 王庆[1] 于新洋[1] 

机构地区：[1]鲁东大学地理与规划学院,山东烟台264025 [2]烟台市国土资源局土地规划站,山东烟台264003

出　　处：《测绘科学》2011年第4期221-222,200,共3页Science of Surveying and Mapping

基　　金：国家自然科学基金(40801016);山东省自然科学基金(Z2008E03)

摘　　要：本文以地处莱州湾东海岸的莱州市为研究区域,以TM影像为主要信息源,在分析各类地物分类效果的基础上,结合区域特点和地物光谱特征,综合利用两期典型季相的遥感图像,并针对每一种土地利用类型确定最佳信息提取影像,提出了基于光谱、地形等多种知识的分层信息提取方法。结果表明该方法分层目标明确,分类精度和计算效率都有明显提高,且在数据分析和解译方法上表现出更大的灵活性。This paper made a research on Laizhou, lying in the east coast of Laizhou Bay. Adopting TM images as the main information source, and based on the analysis of various surface features, a layered information extract method based on the light spectrum, terrain and other knowledge was raised, combined with the district features, surface features and light spectrum features, and comprehensively utilized the two-period typical seasonal aspect remote sensing images. The results showed that this method of layering was goal-oriented, with the obvious improvement of classification accuracy and computational efficiency. The analysis of data and the interpretation method were more flexible as well.

关 键 词：TM影像 土地利用/覆被 分层信息提取 海岸带 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]