高分辨率遥感图像最近邻模糊分类器的研究及实现     

朱国龙  汪云甲  乔浩然  刘乐乐  赵一清 《测绘科学》2010,35(6):96-98

本文针对高分辨率遥感影像快速高效萃取有用信息这一遥感技术应用的热点问题,探讨了一种适合于组合特征识别的遥感图像最近邻模糊分类器。该分类器首先把待识别目标的组合特征与训练模板中的组合特征样本的平均值一一进行比较,从而得到了一个特征差矩阵。用模糊分布函数在同类特征差之间进行处理,生成一个隶属度矩阵,然后用算术平均法对隶属度矩阵进行处理,并用最大隶属度准则来进行分类判决。以新疆和静县的SPOT5图像为例,应用此方法对其进行分类试验。结果表明:利用此分类方法对SPOT5遥感图像进行分类,不仅使分类结果具有丰富的语义信息,而且克服了由于特征选择的不稳定性对分类结果的影响,分类精度也得到了显著的提高。  相似文献   

Evaluation of fuzzy-based classifiers for cotton crop identification     

Vijaya Musande  P.S. Roy  Karbhari Kale 《国际地球制图》2013,28(3):243-257

In this study, an evaluation of fuzzy-based classifiers for specific crop identification using multi-spectral temporal data spanning over one growing season has been carried out. The temporal data sets have been georeferenced with 0.3 pixel rms error. Temporal information of cotton crop has been incorporated through the following five indices: simple ratio (SR), normalized difference vegetation index (NDVI), transformed normalized difference vegetation index (TNDVI), soil-adjusted vegetation index (SAVI) and triangular vegetation index (TVI), to study the effect of indices on classified output. For this purpose, a comparative study between two fuzzy-based soft classification approaches, possibilistic c-means (PCM) and noise classifier (NC), was undertaken. In this study, advanced wide field sensor (AWiFS) data for soft classification and linear imaging self scanner sensor (LISS III) data for soft testing purpose from Resourcesat-1 (IRS-P6) satellite were used. It has been observed that NC fuzzy classifier using TNDVI temporal index – dataset 2, which comprises four temporal images performs better than PCM classifier giving highest fuzzy overall accuracy of 96.03%.  相似文献   

A study of supervised classification accuracy in fuzzy topological methods     

Wenzhong Shi  Kimfung Liu  Hua Zhang 《International Journal of Applied Earth Observation and Geoinformation》2011

The multiple classifier system (MCS) is an effective automatic classification method, useful in connection with remote sensing analysis techniques. Combining MSC with induced fuzzy topology enables a decomposition of image classes. This fuzzy topological MCS then provides a new and improved approach to classification. The basic classification methods discussed in this paper include maximum likelihood classification (MLC), minimum distance classification (MIND) and Mahalanobis distance classification (MAH).  相似文献   

遥感图像在土地利用更新中的应用研究——以里下河地区防汛信息系统(LXFPGIS)为例   总被引：1，自引：0，他引：1  

毛可标  刘凤德  苏玉扬  庞华 《测绘科学》2000,25(2)

以里下河地区防汛信息系统为例 ,阐述了利用 TM遥感图像进行 GIS土地利用更新的试验研究。采用了最大似然分类法和模糊分类法两种监督分类方法进行分类试验。提出了两种提高训练区采样效率的基于 GIS本底数据的采样方法 ,即半人工采样方法和全自动分类区直方图提取法。对上述方法分别做了土地利用分类试验 ,对分类结果进行了分析比较 ,并作出了相应的结论。  相似文献   

数据挖掘技术及其在地学中的应用   总被引：11，自引：0，他引：11  

王钦军  薛林福 《世界地质》2000,19(3):235-239

数据挖掘（Ｄａｔａ Ｍｉｎｉｎｇ）是一个极具有创新性的领域,其在天文、商业等领域得到了广泛的应用,取得了一系列重要的应用成果,它在地学领域的应用潜力越来越受到人们的重视。概括了数据挖掘的６种模式,２种工具,７种方法,探讨了其在地学中应用的前景和意义。利用数据挖掘技术,人们可以从已获得的大量中提取出可理解的模式,从而有效地认识地咎所陷藏的地质规律,发现新知识。同时数据挖掘技术的量化处理方法可以增加分  相似文献   

A hybrid ensemble method for improved prediction of slope stability          下载免费PDF全文

Chongchong Qi  Xiaolin Tang 《国际地质力学数值与分析法杂志》2018,42(15):1823-1839

Accurate prediction of slope stability is a significant issue in geomechanics with many artificial intelligence (AI) techniques being utilised. However, the application of AI has not reached its full potential because of the lack of more robust algorithms. In this paper, we proposed a hybrid ensemble method for the improved prediction of slope stability using classifier ensembles and genetic algorithm. Gaussian process classification, quadratic discriminant analysis, support vector machine, artificial neural networks, adaptive boosted decision trees, and k‐nearest neighbours were chosen to be individual AI techniques, and the weighted majority voting was used as the combination method. Validation method was chosen to be the 10‐fold cross‐validation, and performance measures were selected to be the accuracy, the receiver operating characteristic curve, and the area under the receiver operating characteristic curve (AUC). Grid search and genetic algorithm were used for the hyperparameter tuning and weight tuning respectively. The results show that the proposed hybrid ensemble method has great potential in improving the prediction of slope stability. Compared with individual classifiers, the optimum ensemble classifier achieved the highest AUC value (0.943) and the highest accuracy (0.902) on the testing set, denoting that the predictive performance has been improved. The optimum ensemble classifier with the Youden's cut‐off was recommended for slope stability prediction with respect to the AUC value, the accuracy, the true positive rate, and the true negative rate. This research indicates that the use of the classifier ensembles, rather than the search for the ideal individual classifiers, might help for the slope stability prediction.  相似文献   

面向复杂地形的坡位K-means聚类划分研究     

高海峰  葛莹  张杰  肖胜昌  陈科 《地球信息科学学报》2020,22(3):474-481

土壤植被研究建立在精准坡位划分的基础上。但现有的坡位大多采用手工划分的方式,存在着自动化程度低、划分精度不高且耗时较长等问题。本文提出一种顾及复杂地形的坡位自动划分算法,尝试采用机器学习K-means方法解决高海拔山区坡位划分的问题,并在山峰区域提取、聚类数确定、以及初始聚类中心选取等关键技术进行了算法的优化。为了验证算法的有效性,以云南省姚安县为研究区,运用提出的算法对研究区坡位进行自动划分,再采用Calinski-Harabasz聚类评价指标、调整兰德系数ARI和误差平方和SSE等一系列方法对坡位K-means聚类划分实验进行分析和评价。研究结果表明,利用该算法所生成的复杂地形坡位与研究区实测等高线相匹配。其次,再从姚安县规划风电场任选4个场址,比较13×13、25×25、37×37三种适宜窗口下坡位自动划分结果,结果表明选取25×25适宜窗口进行坡位划分可靠性最强。再者,计算的规划风电场内山脊、坡肩及背坡比例高达57.13%,也从一个侧面证实了利用该算法划分的坡位结果良好。  相似文献   

基于多光谱影像和DEM的泥石流堆积扇识别研究——以白龙江流域武都段为例     

杨小兵  王登贵 《测绘与空间地理信息》2016,(4):118-121

选取中国泥石流多发区白龙江流域武都段作为研究区,在对该区域泥石流堆积扇的形态特征和堆积范围进行实地调绘的基础上,利用高分辨率影像(SPOT)进行目视解译,获得研究区部分泥石流堆积扇和非泥石流堆积区的分布范围,将其作为已知样本区。利用该区域多光谱遥感影像(ASTER)和数字高程模型(DEM),提取包含波段比和主分量的几十种特征指标。通过运用方差分析和聚类分析等方法对各指标进行分析计算,选取对区别泥石流堆积扇最具显著意义的指标进行输入,进而采用基于像元的分类方法识别泥石流堆积扇。得到如下结论:SPOT与ASTER融合影像的波段比、主分量指标可以有效地突出土壤岩石中的矿物成分,对泥石流堆积扇的识别具有显著意义;利用筛选出的遥感指标和地形指标作为输入,进行监督分类识别泥石流堆积扇,能够有效地将遥感指标和地形指标相结合,提取的堆积扇覆盖范围与实际情况较为接近。  相似文献   

树分类器在测井岩性评价中的应用          下载免费PDF全文

潘懋  马莉  魏至峰 《地质科学》1993,(2):193

 利用测井资料进行岩性定量识别,分类方法的设计是决定分类结果好坏的关键。本文讨论了树分类器与产生式规则相结合的方法在岩性分类中的应用。利用数据完整的测井曲线参与树分类器的学习、判别工作,用树分类器进行岩性的“逐级识别”,不完整的特征交由定性规则处理,既实现了岩性的细分,且保证了分类的精度。  相似文献   

基于Hopfield神经网络模型的遥感影像分类算法   总被引：1，自引：0，他引：1  

董广军 张杰徐铭杰  朱朝杰 《测绘学院学报》2003,20(4):267-270,274

针对遥感影像的分类特点，提出了一种基于Hopfield神经网络模型的遥感影像分娄算法。首先阐述了Hopfield神经网络的结构及其工怍原理，分析了Hopfield神经网络优化规则；然后在Hopfield神经网络通用模型基础上，实现了Hopfield神经网络的算法。实验结果表明，这种分类器具有较高的精度与效率，分类结果优于最大似然分类法。  相似文献