1) multi-resolution remote sensing image
多空间分辨率遥感图像
4) high-resolution remote sensing imagery
高空间分辨率遥感影像
1.
In this paper,an IKONOS image with forests is decomposed by Contourlet transformation,then a method for extracting the boundary of forests from high-resolution remote sensing imagery is proposed associated watershed transformation and texture analysis.
在高分辨率影像上,不仅地物的光谱特征更明显,其景观的结构、形状、纹理和细节等信息也都非常突出,但使用高空间分辨率遥感影像进行分类所面临的一个挑战就是所谓的“高分辨率问题(H-resolution problem)”,即随着传感器分辨率的增长,类间的光谱变化增大,导致使用传统分类器时的统计可分离性降低,从而导致分类精度的下降[3-4]。
5) Image spatial resolution
图像空间分辨率
1.
The method of improving image spatial resolution of the optical instruments with linear sensors in the three-axis body-stabilized platform was proposed by changing the sensors relative positions as well as increasing the over-sampling ratio in some degrees.
提出了通过改变线列探测器像元摆放方式并适当增加系统过采样率来提高三轴稳定平台下线列探测器光学遥感仪图像空间分辨率性能的技术实现方案。
6) high resolution multispectral remotely sensed data
高分辨率多光谱遥感图像
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条