LIRRN:位点独立的相对射线测量规范化比特时遥感图像的位置独立相对射线测量
Armin Moghimi1,2, Vahid Sadeghi3, Amin Mohsenifar2
1Ludwig-Franzius Institute of Hydraulic, Estuarine and Coastal Engineering, Leibniz University Hannover, Nienburger Str. 4, 30167 Hannover, Germany.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
一种新的位置独立的相对射线测量规范化 (RRN) 方法 (LIRRN) 准确地比较远程传感图像而不需要空间匹配. 它的性能优于现有的方法,特别是对于未注册的数据,提供更快的处理和可靠的结果.
科学领域:
- 遥感 遥感 遥感 遥感
- 图像处理 图像处理
- 地理空间分析的研究.
背景情况:
- 相对辐射度正常化 (RRN) 对于在无监督变化检测中比较多时远程传感 (RS) 图像至关重要.
- 现有的RRN方法与不同的土地覆盖面/土地利用 (LULC) 和空间错位扎,导致由于伪不变特征 (PIF) 的偏差.
研究的目的:
- 为准确的RS图像比较引入一种新的位置独立RRN (LIRRN) 方法.
- 解决传统的RRN方法的局限性,这些方法依赖于空间一致的PIF.
- 开发一种无共同注册的RRN方法,以补充现有技术.
主要方法:
- 通过使用多Otsu值,LIRRN将图像分成黑暗,灰色和明亮的区域.
- 它通过在区域内匹配最近距离图像内容提取非空间匹配的PIF.
- 一个线性模型是为带对带主体图像校准而构建的.
主要成果:
- 与直方图匹配相比,LIRRN在注册和未注册的比特时空卫星图像上表现出卓越的性能,区块化KAZE和基于关键点的RRN.
- LIRRN实现了比块式KAZE和基于关键点的RRN更快的执行时间.
- 将LIRRN与基于关键点的RRN相结合,提高了准确性和可靠性.
结论:
- LIRRN有效地克服了RRN中的空间错位问题,为远程传感数据提供了强大的规范化.
- 该方法提供了一个计算效率高的替代方案,并且可以与其他RRN技术集成,以获得更好的结果.
- 开源代码和数据集可用于进一步的研究和应用开发.
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