Efficient,simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

Automatic detection of geospatial targets in cluttered scenes is a profound challenge in the field of aerial and satellite image analysis. In this paper, we propose a novel practical framework enabling efficient and simultaneous detection of multi-class geospatial targets in remote sensing images (RSI) by the integration of visual saliency modeling and the discriminative learning of sparse coding. At first, a computational saliency prediction model is built via learning a direct mapping from a variety of visual features to a ground truth set of salient objects in geospatial images manually annotated by experts. The output of this model can predict a small set of target candidate areas. Afterwards, in contrast with typical models that are trained independently for each class of targets, we train a multi-class object detector that can simultaneously localize multiple targets from multiple classes by using discriminative sparse coding. The Fisher discrimination criterion is incorporated into the learning of a dictionary, which leads to a set of discriminative sparse coding coefficients having small within-class scatter and big between-class scatter. Multi-class classification can be therefore achieved by the reconstruction error and discriminative coding coefficients. Finally, the trained multi-class object detector is applied to those target candidate areas instead of the entire image in order to classify them into various categories of target, which can significantly reduce the cost of traditional exhaustive search. Comprehensive evaluations on a satellite RSI database and comparisons with a number of state-of-the-art approaches demonstrate the effectiveness and efficiency of the proposed work.  相似文献   

基于四叉树编码的要素过滤技术在数字城市中的应用     

顾娟  ;徐红波  ;黄万胜 《现代测绘》2014,(2):22-24

数字城市是社会发展的必然趋势,数字城市建设中地图数据的显示和表达也是一项重要的工作,已有的地图数据分级显示方法在遇到图层要素数目很大、要素空间分布不均匀等情况时,存在要素过渡不自然、局部聚集等现象,本文提出了基于四叉树编码的要素分级显示过滤技术很好的解决不自然过渡要素显示的问题,与人工地图分级过滤相比,极大的提高了工作效率。  相似文献   

基础地理数据分类和编码研究——以北京市测绘设计研究院基础地理数据为例     

马福光  陶迎春  任海英  吴爱华 《北京测绘》2014,(1):8-11,7

基础地理数据分类是一个抽象真实世界、形成逻辑概念的过程,其结果是得到数据分类、建立数据编目的方案。参考国内外相关研究成果,结合北京市测绘设计研究院的数据库建设项目,本文首先对基础地理数据类型进行了梳理,然后进行了数据资源统一规划、数据编码、数据标准的制定,接着对数据的维护、更新方案进行了研究,最后给出了北京市测绘设计研究院的基础地理数据分类和编码结果。  相似文献   

基于分布异常的高光谱遥感影像小目标检测算法   总被引：6，自引：1，他引：5  

路威  余旭初  刘娟  杨国鹏 《测绘学报》2006,35(1):40-45

提出一种基于分布异常的高光谱遥感影像小目标检测方法。该算法用基于近似相对熵的实码遗传优化投影寻踪方法(RCGOA-PP),有效地将高维数据中隐藏的目标信息集中投影到低维空间中,并用直方图分割的方法提取出小目标。实验证明,此算法精度较高,适用于对高光谱影像中的小目标进行检测。  相似文献   

基于Geodatabase的CAD到ARCGIS数据入库研究   总被引：1，自引：0，他引：1  

文学东  钟文军  祝方雄  卢秀山 《测绘科学》2006,31(6):100-102

城市基础地理信息系统建设的核心在于数据和基于数据的服务,而目前拥有的前端数据以CAD格式为主,所以研究CAD到G IS的数据直接转换势在必行。本文研究了从CAD到ARCG IS过程中的地理编码方案和规则库,采用COM组件技术,利用ARCG IS的Geodatabase数据模型,用VB和AO编程解决了格式转换、构面处理、属性提取和入库等问题。  相似文献