搜索结果: 1-15 共查到“摄影测量与遥感技术 SVM”相关记录15条 . 查询时间(0.018 秒)
为了进一步提高遥感图像建筑物区域的识别精度，提出了一种基于中值稳健扩展局部二值模式（median robust extended local binary pattern，MRELBP）、Franklin矩和布谷鸟优化支持向量机（support vector machine，SVM）的分类方法。首先，通过MRELBP特征算子计算图像块的纹理特征向量，并根据Franklin矩得到形状特征向量，组合图...
SPECTRAL RECONSTRUCTION BASED ON SVM FOR CROSS CALIBRATION
Hyperspectral sensing Spectral reconstruction non-linear Cross calibration
2017/7/12
Chinese HY-1C/1D satellites will use a 5nm/10nm-resolutional visible-near infrared(VNIR) hyperspectral sensor with the solar calibrator to cross-calibrate with other sensors. The hyperspectral radianc...
AN OPTIONAL THRESHOLD WITH SVM CLOUD DETECTION ALGORITHM AND DSP IMPLEMENTATION
cloud detection DSP SVM classifier threshold emulator
2016/11/30
This paper presents a method which combines the traditional threshold method and SVM method, to detect the cloud of Landsat-8 images. The proposed method is implemented using DSP for real-time cloud d...
THE APPLICATION OF SUPPORT VECTOR MACHINE (SVM) USING CIELAB COLOR MODEL, COLOR INTENSITY AND COLOR CONSTANCY AS FEATURES FOR ORTHO IMAGE CLASSIFICATION OF BENTHIC HABITATS IN HINATUAN,SURIGAO DEL SUR,PHILIPPINES
Benthic habitat mapping Image processing CIELAB Color science OBIA SVM
2016/11/23
This study demonstrates the application of CIELAB, Color intensity, and One Dimensional Scalar Constancy as features for image recognition and classifying benthic habitats in an image with the coastal...
PERFORMANCE EVALUATION FOR SCENE MATCHING ALGORITHMS BY SVM
Scene matching Classification Support vector machine Performance evaluation Measure descriptor Training
2015/12/31
Scene matching is the process of locating a region of an image with the corresponding region of another image where both image regions represent the same scene. Although a lot of algorithms have appea...
AN CBRSIR FEATURES COMPRESSION APPROACH BASED ON DPSO AND SVM
Feature Compression CBRSIR DPSO SVM
2015/12/30
The number of image features used by content-based remote sensing image retrieval (CBRSIR) system is not less than one hundred, and the image amount is very large, at the same time, the time cost is v...
QUANTITATIVE ESTIMATION OF DESERTIFICATION DEGREE BASED ON PCA FUSION AND SVM USING CBERS-02B
support vector machine (SVM) data fusion CBERS-02B soil desertification information PCA
2015/12/23
Soil Desertification has severely threatened inner stability and sustainable development in arid areas, so extracting soil desertification information based on remote sensing and mastering its spatial...
COMPARISON OF FEATURE SELECTION TECHNIQUES FOR SVM CLASSIFICATION
Support Vector Machines Feature Selection Exhaustive Search
2015/9/8
The use of satellite imagery in the derivation of land cover information has yielded immense dividends to numerous application fields
such as environmental monitoring and modeling, map making and rev...
A COMPARISON STUDY OF DIFFERENT KERNEL FUNCTIONS FOR SVM-BASED CLASSIFICATION OF MULTI-TEMPORAL POLARIMETRY SAR DATA
Full-polarimetric SAR data multi-temporal data SVM kernel functions cop classification
2014/12/1
In this paper, a framework is developed based on Support Vector Machines (SVM) for crop classification using polarimetric features extracted from multi-temporal Synthetic Aperture Radar (SAR) imagerie...
REMOTE SENSING CLASSIFICATION METHOD OF WETLAND BASED ON AN IMPROVED SVM
Multi-source remote sensing image Wetland Classification model Support vector machine Mixed kernel function
2014/4/24
The increase of population and economic development, especial the land use and urbanization bring the wetland resource a huge
pressure and a serious consequence of a sharp drop in the recent years. ...
APPLICATION OF FUSION WITH SAR AND OPTICAL IMAGES IN LAND USE CLASSIFICATION BASED ON SVM
SAR Multi-spectral images Image fusion SVM Land use classification
2014/4/25
As the increment of remote sensing data with multi-space resolution, multi-spectral resolution and multi-source, data fusion technologies have been widely used in geological fields. Synthetic Aperture...
利用混合像元分解结合SVM提取城市绿地
混合像元分解 支持向量机（SVM）法 决策树法
2009/12/10
从遥感图像提取城市绿地是准确获取城市绿地空间分布的基础。然而由于混合像元的存在，导致城市遥感分类精度不高。因此，利用混合像元分解结合SVM（支持向量机）法提取北京市TM图像城市绿地，并与决策树法比较，研究提高遥感提取城市绿地精度的方法。结果表明，该方法较适合复杂高维空间，对样本选取的准确性没有那么苛刻，可有效地处理城市遥感图像存在的混合像元问题，可较准确地提取城市绿地信息，其精度在92%以上，优于...
基于SVM的多源遥感影像面向对象建筑物提取方法
机载激光雷达(LIDAR) 航空影像 面向对象
2009/11/23
在分析支持向量机（Support Vector Machine，SVM）分类技术和机载激光雷达(LIDAR)数据、航空影像特征的基础上，提出了基于SVM的LIDAR数据和航空影像的面向对象建筑物提取方法。结果表明，该方法充分利用了多源影像的互补信息，能够得到更高的信息提取精度，准确而快速地更新地理空间数据库，是一种有效的面向对象建筑物提取方法。
基于SVM遥感矿化蚀变信息提取研究
SAM SVM 矿化蚀变信息
2009/11/23
提出一种基于支持向量机(SVM)遥感数据矿化蚀变信息提取的新方法。该方法首先根据蚀变岩及矿体围岩的实测光谱数据，利用光谱角度制图法(SAM)提取训练样本，应用交叉比对(cross-validation)算法确定最优SVM模型参数，选择径向基(RBF)核函数，训练SVM分类器模型； 然后，用训练好的SVM模型进行遥感矿化蚀变信息提取； 最后，选择青海芒崖地区的ETM数据进行遥感矿化蚀变信息提取试验。...