[1]陈艺华,陈振杰.一种面向对象的人工草地遥感监测方法[J].江苏农业学报,2021,(06):1545-1553.[doi:doi:10.3969/j.issn.1000-4440.2021.05.024]
　CHEN Yi-hua,CHEN Zhen-jie.An object-oriented remote sensing monitoring method for artificial grassland[J].,2021,(06):1545-1553.[doi:doi:10.3969/j.issn.1000-4440.2021.05.024]
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一种面向对象的人工草地遥感监测方法()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2021年06期
页码:
1545-1553
栏目:
园艺
出版日期:
2021-12-30

文章信息/Info

Title:
An object-oriented remote sensing monitoring method for artificial grassland
作者:
陈艺华1; 2; 陈振杰1; 2
(1.南京大学地理与海洋科学学院，江苏南京210023;2.江苏省地理信息技术重点实验室，江苏南京210023)
Author(s):
CHEN Yi-hua1; 2; CHEN Zhen-jie1; 2
(1.School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China;2.Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210023, China)
关键词:
人工草地; 遥感监测; 面向对象分类; 多尺度分割; 特征选择
Keywords:
artificial grassland; remote sensing monitoring; object-oriented classification; multi-scale segmentation; feature selection
分类号:
TP75
DOI:
doi:10.3969/j.issn.1000-4440.2021.05.024
文献标志码:
A
摘要:
城市绿化带动人工草地草需求量增大和经济效益提升，部分种植主体会选择种植人工草地草替代传统粮食作物，种植人工草地草会严重损害耕地质量，快速有效地监测在耕地上种植人工草地草很有必要。本研究通过面向对象的方法，利用高分辨率遥感影像来获取江苏省常州市新北区西夏墅镇东南部人工草地信息，研究影像分割的最佳分割参数、最优特征选取和分类方法等问题。通过比较2013年和2017年的人工草地草种植范围，了解该地区人工草地草种植的变化情况。结果表明，(1)面向对象的高分遥感监测方法在提取人工草地信息时，能使提取的人工草地信息更加完整，获取的信息更加丰富；(2)最优分类特征选择对于面向对象遥感信息提取至关重要，验证了J-M距离对特征选择的有效性，该方法可以适用于不同影像，但所选的特征依赖于具体影像和待提取要素的特性；(3)试验区人工草地呈现团块状的集聚分布，主要分布在城镇周边，多沿道路分布。2013-2017年，人工草地草种植范围呈扩张趋势，增加的区域大部分来自耕地。
Abstract:
Urban afforestation promotes the demand and economic benefits of artificial grassland. Some farmer households will choose to plant artificial grassland instead of traditional food crops. In addition, planting artificial grassland will seriously damage the quality of cultivated land. So it is necessary to quickly and effectively monitor the area and intensity of artificial grassland planting on basic farmland. In this study, high-resolution remote sensing images were used to obtain artificial grassland information in the southeast area of Xixiashu town, Xinbei district, Changzhou city, Jiangsu province. By using the object-oriented approach, the problems of the best segmentation parameters, the best feature selection and the classification method of the image were studied. The planting range of artificial grassland in 2013 and 2017 was compared to understand the changes of artificial grassland planting in this area. The results showed that using the object-oriented high-resolution remote sensing monitoring method to extract the artificial grassland information could make the extracted artificial grassland infarmation more complete and obtain more abundant information. The selection of optimal classification features was significant for the extraction of object-oriented remote sensing information. The validity of J-M distance to feature selection was verified. The method could be applied to different images, but the selected features depended on specific images and characteristics of the elements to be extracted. The artificial grassland presented a cluster of lump-like distribution, mainly distributed around the town and along the road. From 2013 to 2017, the planting area of artificial grassland showed an expansion trend, and most of the increased areas came from cultivated land.

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备注/Memo

备注/Memo:
收稿日期：2021-01-11基金项目：国家自然科学基金面上项目( 41571378、41671386)作者简介：陈艺华（1996-），女，江苏无锡人，硕士研究生，主要从事土地利用变化、遥感图像目标提取的研究。（E-mail）njucyh@163.com通讯作者：陈振杰，（E-mail）chenzj@nju.edu.cn
更新日期/Last Update: 2022-01-07