面状目标的英文

• area target

• "面"英文翻译    face
• "状"英文翻译    form; shape
• "目标"英文翻译    target; objective
• "面状目标 领域目标" 英文翻译 :    area target
• "点状目标" 英文翻译 :    point target
• "杆状目标" 英文翻译 :    bar target
• "线状目标" 英文翻译 :    linear target
• "针点状目标" 英文翻译 :    pin point target
• "精确攻击, 对点状目标攻击" 英文翻译 :    pinpoint attack
• "条形目标，杆状目标（分辨率检查用）" 英文翻译 :    bar target
• "面状" 英文翻译 :    facets
• "浮霉状目属" 英文翻译 :    planctomyces
• "粗面状" 英文翻译 :    trachytic
• "面片；面状" 英文翻译 :    facets
• "功能树状目录" 英文翻译 :    feature tree
• "表面状况" 英文翻译 :    surface appearance; surface condition
• "表面状态" 英文翻译 :    apparent condition; condition of surface; surface state; surface texture; topography
• "粗面状的" 英文翻译 :    trachytic
• "地面状况" 英文翻译 :    state of ground
• "地面状态字" 英文翻译 :    usw
• "海面状况" 英文翻译 :    sea state; state of the sea
• "海面状态" 英文翻译 :    sea condition
• "花岗粗面状" 英文翻译 :    granitotrachytic
• "基态；地面状态" 英文翻译 :    ground state
• "夹有生面状" 英文翻译 :    doughiness

• Aiming at the character of interesting target to be extracted , we analyzed the basic means of region extraction
  针对要提取的兴趣目标的特点，分析了面状目标提取的一些基本技术。
• 4 ) this paper realizes object location recognition commutatively . the paper realizes road and some area objects recognition semi - automatically or automatically
  ( 4 )实现了军事目标的交互式识别以及道路和部分面状目标的半自动或自动识别。
• 3 . three texture segmentation models are analyzed thoroughly combined with basic characteristics of region target and a texture segmentation model is presented according to the character of residential areas . 4
  结合遥感影像中面状目标的纹理特征，深入分析了前人提出的三种纹理分割模型，并结合居民地的特点提出了基于几何结构信息的纹理分割模型。
• Based on the automatic interpretation of spatial image and the actuality of present production , this paper studied the semiautomatic extraction and precise orientation of region , and emphatically solved the problem of typical region ( such as large residential area ^ water area > plant area ) semiautomatic extraction and accurate boundary orientation . the key technique is some correlative techniques , such as target pattern extraction character matching > boundary refinement etc . the main achievements of this paper are the follows : 1
  本文从影像理解和目前生产作业的实际出发，以面状目标的半自动提取与精确定位为研究内容，重点解决了中小比例尺全色遥感影像中一些典型面状地物(如大面积的居民地、水域、植被等)高精度地半自动目标分割与边界精确定位的问题，其关键点是目标模式提取、特征匹配、边界精化等一系列相关技术。