LI Bin-bing,HUANG Lei.Study on Recognition of the Gully in Loess Hilly-Gully Region Based on Object-Oriented Technology[J].Research of Soil and Water Conservation,2013,20(03):115-119,124.
基于面向对象技术的黄土丘陵沟壑区切沟遥感提取方法研究
- Title:
- Study on Recognition of the Gully in Loess Hilly-Gully Region Based on Object-Oriented Technology
- 关键词:
- 切沟; 高分辨率影像; 面向对象半自动分类方法
- 分类号:
- TP751;S157
- 摘要:
- 基于高分辨率遥感影像，提出了结合高分辨率影像的光谱、地形、几何形态和GLCM纹理信息等特征的切沟半自动面向对象提取方法，建立了一组沿径流方向计算纹理特征空间对比度和相关性的公式。以黄土丘陵沟壑第三副区甘肃天水桥子沟小流域World View-2影像数据为例，分别建立了耕地（山坡地、梯田）、果园、林地、农路、切沟的分类规则和算法，以影像的目视解译结果结合实地调查进行精度评价，分类结果显示，总体分类精度为75.17%，总Kappa系数为0.64，切沟的生产者精度为80%，用户精度为70.59%，取得了令人满意的结果。
- Abstract:
- Based on high resolution spatial image, this paper proposed a semi-automatic objected-based classification method to extract gully features using a combination of topographic, spectral, shape(geometric) and contextual information obtained from World View-2 data and a set of GLCMs metrics was calculated based on the flow direction. Taking the third auxiliary district of the loess hilly-gully area of Qiaozigou watershed of Tianshui in Gansu as a case, a rule-set was developed and tested on terrace, orchard, forest, road and gully. The classification results were evaluated by visual interpretation and field investigation which had promising accuracies, and the overall classification accuracy was 75.17%, the overall Kappa coefficient was 0.64, the producer accuracy of gully reached to 80% and the user accuracy was 70.59%.
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备注/Memo
收稿日期:2012-10-29;改回日期:2012-12-12。
基金项目:国家自然科学基金资助项目（41171224）
作者简介:李斌兵(1968-),女,陕西西安人,博士,硕士生导师,主要研究方向:地图学与地理信息系统,土壤侵蚀预报模型。E-mail:libinbing8@vip.sina.com