搜索资源列表
sift2
- 提出了一种基于线特征和SIFT点特征的多源遥感影像配准方法。该方法首先匹配待配准影像和参 考影像中的线特征,利用匹配直线构建虚拟角点 其次,针对传统SIFT算法匹配多源遥感影像特征点存在的 不足,采用线特征约束点特征的方法进行SIFT同名点对的提取 最后结合虚拟角点对及SIFT同名点对构建三角网进行小面元微分纠正。 -A line-based features and SIFT features multi-point sources of remote sensing image
SIFT3
- :对传统SIFT算法从特征点提取时间和匹配精度上进行了优化,基于优化算法提取的特征点对构建 三角网进行小面元微分纠正配准。试验结果表明,该方法是一种有效的遥感影像自动配准方法。 -: SIFT algorithm from the traditional feature extraction time and matching accuracy, and the optimization, optimization algorithm based on the extracted fea
114a
- 遥感影像道路网提取， 遥感影像道路网提取，-Remote sensing images road network extraction, remote sensing images road network extraction, remote sensing images road network extraction,
256
- 遥感影像道路网提取方法的文章，遥感影像道路网提取方法的文章 -Articles of remote sensing images road network extraction method, the road network extraction method of remote sensing image Article remote sensing image road network extraction method articles
Pavement-Cracks-Detection-
- 基于NSCT的遥感影像道路提取算法研究_刘书丽-Remote sensing images based on NSCT road extraction algorithm _ Liu Shuli
123
- 高分辨率遥感影像的支持张量机分类方法，此方法能够利用少量的训练样本实现更优的分类精度。-Support tensor machines resolution remote sensing image classification method, and this method can use a small amount of training samples to achieve better classification accuracy.
123455
- 集成改进Mean Shift 和区域合并两种算法的图像分割,能得到更好的分割效果，且能在一定程度上提高遥感影像分割的自动化。-Improved Mean Shift and regional integration merge two algorithms for image segmentation, segmentation can get better results, and can improve the automation of remote sensing image segme
005
- 无人机低空遥感影像自动拼接技术，希望对初学者有帮助-Low altitude UAV remote sensing automatic splicing technology, we hope to help beginners