1) Smallest Univalue Segment Assimilating Nucleus(SUSAN)
最小吸收同值核区SUSAN
1.
Firstly the edges in the original image are detected using Smallest Univalue Segment Assimilating Nucleus(SUSAN) principle.
首先使用最小吸收同值核区SUSAN(Smallest Univalue Segment Assimilating Nucleus)算子对高分辨率遥感图像进行边缘检测,生成边缘图像。
2) Smallest Univalue Univalue Segment Assimilating Nncleus(SUSAN)
最小核心值相似区域(SUSAN)
3) smallest univalue segment assimilating nucleus
最小同值分割吸收核
4) Univalue segment assimilating nucleus
吸收同值核区
5) USAN
同值分割吸收核
1.
For solving the problems, a new corner detection algorithm based on image edge and USAN (univalue segment assimilating nucleus) is put forward.
本文提出了一种新的基于图像边缘和USAN区域的角点检测方法:首先用二维Gabor小波提取图象的边缘,然后再利用基于同值分割吸收核(univaluesegmentassimilatingnucleus)区域角点检测模型进行角点提取。
6) Univalue Segment Assimilating Nucleus(USAN)
同值收缩核区(USAN)
补充资料:最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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