摘要
本文以山东省荣成市黑泥湾及其北部海域作为研究区,分析了筏式养殖区在SPOT5假彩色合成影像上的亮度特征;根据纯水体亮度受悬沙分布影响较大的特点,设计了以邻域分析为基础的图像增强及分类方法,并在ArcGIS软件中实现;运用Erdas软件聚类统计、去除分析工具消除噪声,提高精度。该方法可快速监测浅海筏式养殖区空间分布情况,为提高用海管理水平并进行科学用海规划提供服务。
In this article, method to extract suspension aquaculture area based on SPOT false color composite image was studied. It selected the sea area in and north to Heini Bay, Rongeheng City, Shandong Province as the study area. The radiancy characteristics of the raft-cuhivation area on SPOT5 image was studied based on the spectrum. In order to diminish the impact of suspended sand, an image enhancement method was designed based on neighborhood statistics, and the operation was done in ArcGIS software. The result contained lots of noise, and was operated in ERDAS software with CLAMP, ELIMINATE tool. With these operations, the extraction accuracy was greatly enhanced. These methods were useful for rapidly monitoring the distribution of raft-cultivation area in shallow sea water, and would provide useful information to improve the management of the sea and planning of the sea.
出处
《测绘科学》
CSCD
北大核心
2013年第2期41-43,共3页
Science of Surveying and Mapping
基金
国家自然科学基金重点项目(41076031)
海洋公益性行业科研专项经费项目(200905004-7)
中国科学院海洋地质与环境重点实验室开放基金资助项目(MGE2009KG04)
海洋沉积与环境地质国家海洋局重点实验室开放基金资助项目(MASEG200807)
关键词
筏式养殖区
遥感
监测
SPOT5
raft-cultivation
remote sensing
monitoring
SPOT5
