摘要
研究了综合应用纹理、光谱及空间等信息建立SPOT-5图像分区分层自动提取果园信息模型的方法,取得了较好的分类精度。
Orchard is an important agricultural industry in Jiaodong peninsular. The prompt and effective extraction of the orchard information is of great significance in guiding fruit production and local planning. In this paper, the authors investigated the orchard information extraction model from the SPOT - 5 image based on sub - region and hierarchical theory by using texture information, spectral information and spatial information. Experiments show that the model formulated by the authors can work efficiently.
出处
《国土资源遥感》
CSCD
2006年第3期61-64,共4页
Remote Sensing for Land & Resources
基金
山东省自然科学基金(Z2003E01)
鲁东大学大学生科技创新基金资助
关键词
果园
纹理
DEM
分区分层
Orchard
Texture
DEM
Sub - region and hierarchical
