吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (3): 907-915.doi: 10.13278/j.cnki.jjuese.201703304
李晓东1,2, 姜琦刚1
Li Xiaodong1,2, Jiang Qigang1
摘要: 为了深化遥感监测方法在生态环境调查中的应用,本文以吉林西部为试验区,设计了一种多时相遥感数据分类方案。该方案以物候信息为主,结合地物特征变量(植被、水体和土地信息)构建的多维特征空间数据集用于土地覆被分类。该遥感分类方案提取了9种地表覆被类型,结果表明:地表植被季节变化信息和土地利用信息的引入能明显改善土地覆被的分类精度;与基于原始波段的分类方案相比,多时相遥感数据分类方案的分类精度最好,总体分类精度为95.50%,Kappa系数为95.04%。
中图分类号:
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