遥感数据的技术状态:伪色复合图像中的渐变图案
Alexey Terekhov1, Ravil I Mukhamediev2, Igor Savin3
1Institute of Information and Computing Technology, Almaty 050010, Kazakhstan.
Journal of imaging
|January 27, 2026
概括
本研究介绍了一种算法,用于检测伪色复合图像中的渐变图案. 它将名义光谱类转换为等级尺度,增强远程传感数据的主题图像分析.
科学领域:
- 遥感 遥感 遥感 遥感
- 图像处理 图像处理
- 计算机视觉 计算机视觉
背景情况:
- 伪色复合图像,通常来自遥感,使用标称尺度用于光谱类.
- 这些图像可以包含梯度结构,表明频谱类的规律空间排序.
- 识别这些梯度模式是高级主题图像分析的关键.
研究的目的:
- 开发一种算法,用于识别伪色复合图像中的渐变图案.
- 为了将光谱类的名义尺度转换为梯度分析的等级尺度.
- 为了使遥感图像的更深层次的主题处理.
主要方法:
- 算法分析伪色复合图像的空间结构.
- 使用每个像素的摩尔社区分析来识别本地二进制模式.
- 将名义光谱类数据转换为梯度传奇等级尺度.
- 评估等级尺度变体,以找到最能代表图像梯度顺序的变体.
主要成果:
- 成功识别伪色复合图像中的渐变图案.
- 将名义光谱类数据转换为有序的等级尺度.
- 通过测试示例来证明算法的有效性.
- 允许用户定义梯度顺序检测的显著性标准.
结论:
- 开发的算法有效地检测伪色复合图像中的渐变结构.
- 这种方法通过引入空间结构分析来增强主题图像处理.
- 转换为等级尺度提供了一种新的方式来解释光谱类关系.
关键词:
渐变图案的渐变图案是一个渐变图案.图像纹理分析 图像纹理分析当地二进制模式局部二进制模式邻里矩阵是一个邻里矩阵.标称尺度上的标称尺度伪色复合图像 伪色复合图像排名 排名 排名 排名 排名 排名 排名远程传感数据的数据.更多相关视频
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