王秀芳,陈飞,农宇,王坤.农业专题图信息自动获取系统[J].农业机械学报,2008,39(5):99-103.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2008,39(5):99-103.
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农业专题图信息自动获取系统   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  专题图  信息  自动获取
基金项目:
王秀芳  陈飞  农宇  王坤
武汉大学
中文摘要:提出了一种从农业专题图中自动获取农业信息的方法。采用计算机视觉和图像距离变换的方法提取专题图中符号的颜色特征和形态特征,根据图例建立符号模板库,然后把符号从扫描专题图中分割出来,最后由符号骨架线的内距值中误差实现符号信息的自动获取。试验结果表明,系统对农业专题图点状符号的正确分割率和正确识别率分别达到97%和93%,线状、面状符号的正确分割率和正确识别率为
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Abstract:99%。

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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