An image change detection algorithm based on adaptive parameter estimation for multi-temporal remote sensing is proposed in this paper.
提出一种基于自适应参数估计实现多时相遥感图像的变化检测算法。
This paper proposes a novel cooperative algorithm for disparity estimation and occlusion points detection, which is adaptive to stereo image coding.
本文提出一种新的用于立体图像编码的视差估计和遮挡点检测混合算法。
In order to provide a more efficient estimation of different major geometries by a single model, an adaptive curve model which varies depending on the local nature of range image is employed.
为了能够仅依靠单一模型实现对环境中不同几何元素的有效估计，介绍了一种根据距离像局部特性进行自适应调整的曲线估计模型。
Secondly, the technique of adaptive clutter estimation and suppression based on quasi-stationary sub-image partition is discussed and its computer simulations are completed.
针对基于四叉树分割的准平稳区域划分方法精度不高的问题，给出了一种基于分水岭分割的准平稳子域划分方法。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
应用推荐