1) multi-spectral images
多光谱影像
1.
On the basis of the analysis of the methods based on single band image texture,this paper presents a method for texture analysis of multi-spectral images based on gray level co-occurrence matrix.
提出了基于灰度共生矩阵的多光谱影像纹理分析的方法,实现了利用k-mean聚类算法对多光谱影像进行分类,比较了各种不同的分类结果。
2.
Using spectral feature and texture feature,the fuzzy c-means clustering algorithm has been performed for the classification of the multi-spectral images.
提出了基于灰度-基元共生矩阵的遥感影像纹理分析的方法,分析了提取的纹理特征,实现了利用模糊C-均值算法对多光谱影像和纹理特征影像进行分类,比较和讨论了各种不同的分类结果。
2) multi-spectral image
多光谱影像
1.
From the structure learning methods of search heuristics, we constructed a Na ve Bayesian Network for the multi-spectral image.
用基于启发式搜索的结构学习算法,学习得到多光谱影像的贝叶斯网络结构,分析了TM的波段(特征)间条件独立性假设的合理性,给出了贝叶斯推理中后验概率计算的公式,并通过和最大似然法对比试验分析了简单贝叶斯网络应用于多光谱影像分类的优势。
3) multi-spectrum remote sensing image
多光谱遥感影像
1.
Study on edge detection of multi-spectrum remote sensing image based on multi-dimension cloud space;
基于多维云空间的多光谱遥感影像边缘检测研究
2.
Study on edge detection of multi-spectrum remote sensing image based on cloud;
基于云的多光谱遥感影像边缘检测研究
4) multispectral textured image
多光谱纹理影像
1.
A new method based on multiresolution Markov random field(MRMRF) in wavelet domain for multispectral textured image segmentation is presented,in which a variable weighting parameter is employed to combine the character random field and the label random field.
提出了一种新的基于多分辨率马尔可夫场(multiresolution Markov random field,MRMRF)模型的小波域多光谱纹理影像分割方法。
5) SPOT5 multi-spectrum image
SPOT5多光谱影像
1.
In this paper, many different methods have been used to merge the digital aerial image and SPOT5 multi-spectrum image, and then the fused results have been evaluated through the calculations of some quantitative index.
通过利用多种图像融合方法分别对航片数字化影像与SPOT5多光谱影像进行融合试验,经定量化指标评价结果表明,利用Pansharp,HPF和HIS融合方法计算后得出的影像在很大程度上保留了原多光谱影像的光谱特征,清晰度有较大提高,具有更强的解译和量测能力。
6) multi-spectral (Hyper-spectral) images
多(高)光谱影像
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条