精确检测图像边缘特征是进行高分辨率遥感图像分割和识别的关键。
Phase Congruency was introduced as a new method to detect features from high-resolution remotely sensed imagery.
针对图割算法实时性差的问题,提出一种基于四叉树与图割的遥感图像分割方法。
Aiming at the problem of poor real-time ability of graph cut, this paper suggests a remote sensing image segmentation approach based on quarter-tree and graph cut.
图像分割是数字图像处理领域中的重要内容,遥感图像分割是图像分割的一个重要应用方向。
Image segmentation is the important content in digital image processing, remote image segmentation is the one of important application aspect of image segmentation.
结果表明:采用均值调整法进行高分辨率遥感图像分割具有较好的效果,图像分割的速度和精度均较高。
The result shows that mean-shift is a good method of segmentation to high-resolution remote sensing images; both the velocity and accuracy of segmentation are satisfied.
多幅遥感图像分割实验证明该方法在保证精度的情况下能有效的减少计算量,实现了遥感图像的快速分割。
Experiments show that this method not only guarantees the accuracy of the segmentation, but also achieved fast segmentation of remote sensing image.
本文以遥感图像为主要的分割对象,对图像分割的相关技术进行了研究,并提出了一种有效的遥感图像分割方法。
This paper used RS images as the primary segmentation object, made a study of RS image segmentation methods, and proposed an effective method for RS image segmentation.
对于中、低分辨率遥感图像来说,单个像元的面积较大,且混合像元现象严重,图像分割会产生较大的误差。
Image segmentation brings errors in low or medium-resolution remote sensing images because a single pixel covers a larger area and there are a lot of mixed pixels.
基于遥感图像纹理分割方法的研究。
We have studied the methods of image texture segmentation systematically.
针对这一问题,本文提出一种基于分割窗的无监督多通道遥感图像变化检测方法。
In order to solve this problem, this paper proposes a split window-based method for unsupervised change detection in multichannel remotely sensed images.
完成了遥感图像配准、聚类、分割和向量化等功能。
The issues such as image correspondence, clustering, segmentation and vectorization involved in remote sensing are discussed.
图像分割是遥感和医学图像处理的基础技术之一,但是目前缺乏工程化通用算法。
Image segmentation is one of the basic technologies in remote sensing and medical image processing but it lacks current algorithm for engineering applications.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景,较深入地进行了遥感图像多尺度边缘分割的方法研究。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
面对海量遥感数据,准确、高效的分割方法是必须的,因此提出了遥感图像多尺度边缘分割的方法。
We provided a new method of remote sensing image multiscale edge segmentation based on invariant moment.
通过对遥感图像的边缘提取,可以为图像解译提供大小、形态等解译要素,并为后期分割及识别处理创造基础。
Through edge detection of remote sensing, we could provide size and shape interpretable factors, and prepare for recognition.
分割的结果包含语义,形成了可进一步进行遥感图像解释的信息。
The results involve semantic knowledge, and therefore provide information for further interpretation of remote sensing image.
在此基础上作者详细推导出了两种纹理图像的分割算法,并用一幅遥感图像进行了实验,获得了较好的分割结果。
Based on RGF models, two kinds of algorithms for texture segmentation have been developed. An experiment has been carried out using remotely sensed image a fairly good results were achieved.
基于灰度形态学,提出一种从高分辨率遥感图像提取道路网络的方法。首先利用灰度形态特征对遥感影像进行分割,进而得到基本的道路网络轮廓。
Based on grey level mathematical morphology, this paper presents a newly developed approach to extract road network from high-resolution remotely sensed image.
以TM 6热红外遥感图像为主要信息源,以GIS作为辅助分析工具,研究了上海城市道路与热场高温区的关系和新建道路对高温区的分割作用。
This paper takes the TM6 images as major information source and GIS as an assistant tool for analysis. The relationship between Shanghai road system and heat field was concerned.
以TM 6热红外遥感图像为主要信息源,以GIS作为辅助分析工具,研究了上海城市道路与热场高温区的关系和新建道路对高温区的分割作用。
This paper takes the TM6 images as major information source and GIS as an assistant tool for analysis. The relationship between Shanghai road system and heat field was concerned.
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