利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

12 条记录 (耗时 0.028 秒)

    Method for recognizing objects in an image pixel plane
    7.
    发明授权
    Method for recognizing objects in an image pixel plane 有权
    用于识别图像像素平面中的对象的方法

    公开(公告)号：US06944342B1

    公开(公告)日：2005-09-13

    申请号：US09721457

    申请日：2000-11-20

    申请人： Christoph Stahl ,  Thomas Fechner ,  Oliver Rockinger

    发明人： Christoph Stahl ,  Thomas Fechner ,  Oliver Rockinger

    IPC分类号： G06K9/62 ,  G06K9/68 ,  G06K9/36

    CPC分类号： G06K9/6292

    摘要： Image data of optically acquired input images (1) are processed for emphasizing at least two object classes. Each pixel is subjected to a rough classification (10) based on first criteria that determine whether or not a pixel is relevant for an object recognition. A reduced image (11) is formed from the relevant pixels and irrelevant pixels are omitted. The reduced image (11) is filtered (20) for forming at least two correlated filtered images (21, 22, 23) based on second criteria. Classified images (31A, 32A, 33A) are formed from the filtered images by classifiers that work in accordance with predetermined rules. Weighting factors are allocated to each object class. The classified images are merged in accordance with an algorithm to make a combined global evaluation for each object class. The global evaluation decides, based on the merged images (41A, 41B, 41C), for each pixel whether the respective pixel belongs to an object class and if so to which object class.

    摘要翻译： 对光学获取的输入图像（1）的图像数据进行处理以强调至少两个对象类别。 基于确定像素是否与对象识别相关的第一标准，对每个像素进行粗略分类（10）。 从相关像素形成缩小图像（11），省略不相关的像素。 基于第二标准，对缩小图像（11）进行滤波（20）以形成至少两个相关滤波图像（21,22,23）。 分类图像（31A，32A，33A）由根据预定规则工作的分类器的滤波图像形成。 加权因子被分配给每个对象类。 分类图像根据算法合并，以对每个对象类进行组合的全局评估。 全局评估基于合并图像（41A，41B，41C），针对每个像素来确定各个像素是否属于对象类，如果是属于对象类则。

    Method for Determining the Geographic Coordinates of Pixels in SAR Images
    9.
    发明申请
    Method for Determining the Geographic Coordinates of Pixels in SAR Images 有权
    确定SAR图像中像素的地理坐标的方法

    公开(公告)号：US20120133550A1

    公开(公告)日：2012-05-31

    申请号：US13380397

    申请日：2010-06-16

    申请人： Benjamin Benninghofen ,  Tamer Koban ,  Christoph Stahl

    发明人： Benjamin Benninghofen ,  Tamer Koban ,  Christoph Stahl

    IPC分类号： G01S13/90

    CPC分类号： G01S7/295 ,  G01S13/90 ,  G09B29/10

    摘要： A method for effecting the airborne determination of geographic coordinates of corresponding pixels from digital synthetic aperture radar images, where the SAR images are available in the form of slant range images and the recording position of the respective SAR image is known. The coordinates of the corresponding pixels in the SAR images and the corresponding range gates are used in each case to determine the distance between a corresponding resolution cell on the ground and the respective recording position of the respective SAR image. The determined distances and associated recording positions of the SAR images are used to determine the geographic coordinates of the corresponding pixels in the SAR images by employing a WGS84 ellipsoid.

    摘要翻译： 从数字合成孔径雷达图像中实现对相应像素的地理坐标的空中确定的方法，其中SAR图像以倾斜范围图像和相应SAR图像的记录位置的形式可用。 在每种情况下，使用SAR图像中的相应像素和对应的范围门的坐标来确定地面上相应的分辨率单元与各个SAR图像的相应记录位置之间的距离。 SAR图像的确定距离和相关记录位置用于通过采用WGS84椭球来确定SAR图像中对应像素的地理坐标。