摘要
Abstract
Based on elaborating the basic principle and algorithm of object-oriented remote sensing classification method, with Weisban Lake wetland vegetation classification in Shandong Province as experimental data, the classification training and precision evaluation of wetland vegetable were carried out. The results showed thai the object-oriented classification precision of residential area, water area, terrestrial vegetation, aquatic vegetation are 92. 81% , 93. 78% , 96. 29% , 95. 38% , obviously higher than that of supervision classification 92. 13% , 88. 36% , 89.24% , 86.55% , which fully display the advantages of object-oriented remote sensing classification in wetland vegetation.关键词
面向对象/遥感影像分类/湿地植被Key words
Object-oriented/ Remote sensing image classification/ Wetland vegetation分类
农业科技
