| 结合光谱和纹理特征的林地变更检测 |
| |
| 引用本文： | 梅树红,范城城,廖永生,李雅然,施宇军,麦超.结合光谱和纹理特征的林地变更检测[J].测绘通报,2019,0(8):140-143. |
| |
| 作者姓名： | 梅树红 范城城 廖永生 李雅然 施宇军 麦超 |
| |
| 作者单位： | 广西壮族自治区遥感信息测绘院,广西南宁,530023;广西壮族自治区地理国情监测院,广西南宁,530023;南宁市国土测绘地理信息中心,广西南宁,530021 |
| |
| 基金项目： | 广西创新驱动发展专项（桂科AA18118038）；广西重点研发计划（2017AB54078） |
| |
| 摘 要： | 开展林地变更调查，能够为森林执法督察、林地"一张图"更新等提供精准的空间信息和属性信息，对于林业资源的监测管理具有重要意义。针对大范围多时相遥感影像人工勾绘变化图斑耗时费力的现状，提出一种结合光谱和纹理特征的林地变更检测方法，并以灵山县东北部为例，利用20171209和20180201两个时期的高分二号遥感影像进行试验。结果表明，该方法在减少人力投入、降低时间成本的基础上，不仅将遥感影像的变化检测效率提高了一半以上，同时能达到77%以上的检测准确率，在森林资源普查中具有一定的应用价值。
|
| 关 键 词： | 主成分分析 最大似然法 归一化植被指数 林地变更 变化检测 |
| 收稿时间： | 2018-12-03 |
| 修稿时间： | 2019-02-27 |
Forestland change detection based on spectral and texture features |
| |
| MEI Shuhong,FAN Chengcheng,LIAO Yongsheng,LI Yaran,SHI Yujun,MAI Chao.Forestland change detection based on spectral and texture features[J].Bulletin of Surveying and Mapping,2019,0(8):140-143. |
| |
| Authors: | MEI Shuhong FAN Chengcheng LIAO Yongsheng LI Yaran SHI Yujun MAI Chao |
| |
| Institution: | 1. Institute of the Guangxi Zhuang Autonomous Region Remote Sensing Information Surveying and Mapping, Nanning 530023, China;2. Institute of the Guangxi Zhuang Autonomous Region National Geographic Monitoring, Nanning 530023, China;3. Nanning Land Surveying, Mapping and Geoinformation Center, Nanning 530021, China |
| |
| Abstract: | The investigation of forest land change can provide accurate spatial information and attribute information for forest law enforcement supervision and forest land "one map" renewal, which is of great significance for forest resources monitoring and management. In view of the time-consuming and laborious situation of large-scale multi-temporal remote sensing images, this paper presents a method of forest land change detection based on spectral and texture features. Taking the northeastern part of Lingshan County as an example, the GF-2 remote sensing images of 20171209 and 20180201 are used to carry out experiments. The results show that, on the basis of reducing manpower input and time cost, this method not only improves the detection efficiency of remote sensing image by more than half, but also achieves more than 77% detection accuracy. This method has certain application value in forest resources census. |
| |
| Keywords: | principal component analysis maximum likelihood method normalized difference vegetation index forestland change change detection |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《测绘通报》浏览原始摘要信息 |
| 点击此处可从《测绘通报》下载免费的PDF全文 |
|
