1. 河海大学地球科学与工程学院
2. 江苏省测绘工程院
纸质出版:2024
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黄冰鑫, 徐佳, 张晓同, 等. 基于特征优选的GF-6WFV影像湿地信息提取[J]. 地理空间信息, 2024,22(4):39-44.
黄冰鑫, 徐佳, 张晓同, et al. 基于特征优选的GF-6WFV影像湿地信息提取[J]. 2024, 22(4): 39-44.
以洪泽湖湿地为研究对象,构建一种基于特征优选的湿地面向对象分类方法,利用高分六号宽幅多光谱(GF-6WFV)影像进行湿地信息提取。首先对GF-6 WFV数据进行预处理和多尺度分割;然后提取光谱、植被指数、水体指数、红边指数和纹理特征,利用基于平均准确度下降法(mean decrease accuracy
MDA)的递归排除算法生成最优特征集;最后,基于最优特征集进行湿地分类,通过对比4种特征优选算法发现基于MDA的递归排除算法能更有效地进行特征变量选择,使用6种方案开展湿地分类实验。结果表明GF-6 WFV影像的红边波段和红边指数在湿地分类中具有重要作用,利用优选特征集的分类精度最高,为87.43%,比未进行特征优选的分类精度提高了1.55%。研究成果将为GF-6 WFV影像在湿地监测方面提供技术参考。
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