Our work focuses on automatic registration technology for RS images and its efficient parallel algorithms.
本文全面深入地研究了基于流域变换的图像分割串、并行算法。
For RS object detection based on SVMs, the false alarm rate is commonly high because of limited object samples and relative complex background.
在基于支持向量机的遥感影像目标检测中,因为有限的目标样本和相对复杂的背景,造成检测结果的虚警率偏高。
This paper used RS images as the primary segmentation object, made a study of RS image segmentation methods, and proposed an effective method for RS image segmentation.
本文以遥感图像为主要的分割对象,对图像分割的相关技术进行了研究,并提出了一种有效的遥感图像分割方法。
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