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Description: 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 registration. This method first match when matching images and reference images in the line features, using the matching Zhixian construct the virtual corner Secondly, the traditional SIFT algorithm for multi-source remote sensing image matching feature points and its shortcomings, bound with thread features characteristic of the method for point SIFT extraction of the same name points Finally, a virtual corner and SIFT on the same name point to the building triangulation using small panel differential corrected.
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Size: 275456 |
Author: LIDAN |
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Description: :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 feature points on the Construction of triangulation using small panel differential corrected registration. The results show that the method is an effective method of automatic registration of remote sensing images.
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Size: 453632 |
Author: LIDAN |
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Description: SIFT isn’t just scale invariant. You can change the following, and still get good results:
• Scale (duh)
• Rotation
• Illumination
• Viewpoint
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Size: 108544 |
Author: unni |
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Description: SIFT3
字符串距离比较，类Levenshtein算法实现。速度较 Levenshtein距离算法快10-45倍。实现略有不同，结果也与 Levenshtein有些差异，但高速是此算法的特点。详情请看：
http://siderite.blogspot.com/2007/04/super-fast-and-accurate-string-distance.html-Super Fast and Accurate string distance algorithm: Sift3. From: http://siderite.blogspot.com/2007/04/super-fast-and-accurate-string-distance.html
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Size: 18432 |
Author: Sunm |
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Description: 本代码用opencv实现了提取图像SIFT特征向量，并将结果保存到了txt文档中，对于之后实现图像分类、图像检索有很大帮助！-This code extraction with opencv image SIFT feature vectors, and save the results to a txt document, after the realization for image classification, image retrieval great help!
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Size: 7179264 |
Author: 房雪键 |
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