| 刘 芸,廖 瑶,李慧璇,杨 娟,王 伟.基于规则面向对象分类法的贵州省山区火烧迹地提取[J].林业调查规划,2024,49(1):8-11 |
| 基于规则面向对象分类法的贵州省山区火烧迹地提取 |
| Extraction of Burned Land in Guizhou Province With Rule-based Object-oriented Classification |
| |
| DOI： |
| 中文关键词: 面向对象分类法 高分卫星影像 火烧迹地提取 山区 贵州 |
| 英文关键词: object-oriented classification GF1 satellite image extraction of burned land mountainous areas Guizhou Province |
| 基金项目:贵州省科技厅基础研究计划（黔科合基础-ZK[2021]一般193）. |
|
| 摘要点击次数: 152 |
| 全文下载次数: 128 |
| 中文摘要: |
| 基于国产高分一号卫星宽幅（WFV）影像，对贵州省复杂地形山区火烧迹地的光谱特征、形状特征、纹理特征等进行了分析，建立了火烧迹地提取规则，完成了研究区基于规则面向对象的火烧迹地提取。利用高分二号卫星1 m分辨率影像对提取结果进行精度验证。结果表明，基于规则面向对象分类法的GF1WFV火烧迹地提取总体精度为92.67%，总Kappa系数为0.89，能较好地完成研究区的火烧迹地分类提取，分类质量达到极好水平，为贵州省山区火烧迹地提取提供了一定的参考和理论依据。 |
| 英文摘要: |
| Based on GF1 WFV images, this paper analyzed the spectral, shape, and texture characteristics of the burned land in complex mountainous areas of Guizhou Province, established the extraction rules of burned land, and completed the extraction of burned land with rule-based object-oriented classification. The results showed that the overall accuracy of this method was 92.67%, and the total Kappa coefficient was 0.89, which could well complete the extraction of burned land in the research area, and the classification quality reached an excellent level, providing a certain reference and theoretical basis for the extraction of burned land in complex mountainous areas of Guizhou Province. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
