This paper describes three development trends in the integration of high resolution remote sense image and GIS.
数字影像在GIS中的应用,可系统归纳为三个方向:使用高分辨率遥感影像用作GIS矢量数据的更新;
Shadow detection in high spatial resolution remote sense image is very critical for target identification and information recovering.
高空间分辨率遥感影像中的阴影检测对于影像的目标识别和信息恢复十分关键。
Seven texture parameters of this model are used for classifying six types of remote sense image over 210 samples. It's success percent is 98. 6 %.
使用本模型的七个纹理参数作特征,在六类地物类型210个样本上作实验,由此设计的分类器的识别率为98.6%。
Absrtact: a new ROIs extract method based on mathematical morphology toward applications on remote sense image is presented.
摘要:提出了一种基于数学形态学的遥感图像多感兴趣区域提取算法。