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Meng Mingchao
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1:
[发明]
【中文】一种基于深度神经网络的遥感影像路网提取方法 【EN】Remote sensing image road network extraction method based on deep neural network
申请号:
201911262993.9
公开号:CN110929690A 主分类号:G06K9/00
申请人:
【中文】交通运输部科学研究院【EN】Academy of Science, Ministry of Transport
申请日:2019.12.10 公开日:2020.03.27
发明人:
【中文】刘柳杨
;
张晓征
;
马骁
;
马景宇
;
郭尚峰
;
田亮
;
孟明超
;
汪盛楠
;
时启辉【EN】Liu Liuyang
;
Zhang Xiaozheng
;
Ma Xiao
;
Ma Jingyu
;
Guo Shangfeng
;
Tian Liang
;
Meng Mingchao
;
Wang Shengnan
;
Shi Qihui
摘要:【中文】本发明公开了一种基于深度神经网络的遥感影像路网提取方法,包括如下步骤:步骤1:算法架构;步骤2:线形与提取路网比对功能架构。本发明针对高分二号卫星高分辨率遥感影像,能够有效提取影像中的路网;读取GPS采集的路线线形,与高分遥感影像提取的路网比对,获得GPS采集线形与影像提取路网的匹配度,有效提升遥感影像识别精度,提升遥感影像与GPS线形比对效率,达到提升路线,采用了一种基于链码的路线追踪加权算法,能够有效识别路线特征进行比对,排除GPS精度误差产生的位置偏移对路线比对结果的影响,排除公共路网数据库因加密产生的位置平移带来的影响,同时能消除公共路网数据库多条路线交叉对比对过程带来的影响。 【EN】The invention discloses a remote sensing image road network extraction method based on a deep neural network, which comprises the following steps: step 1: an algorithm framework; step 2: the linear and extraction road network comparison functional architecture. Aiming at the high-resolution remote sensing image of the high-resolution second satellite, the road network in the image can be effectively extracted; the method comprises the steps of reading a route alignment acquired by a GPS, comparing the route alignment with a road network extracted from a high-resolution remote sensing image to obtain the matching degree of the GPS acquisition alignment and the image extraction road network, effectively improving the identification precision of the remote sensing image, improving the comparison efficiency of the remote sensing image and the GPS alignment, and achieving the purpose of improving the route.
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2:
[发明]
【中文】一种锌浸出渣的制粒方法与锌浸出渣物料及其应用 【EN】Method for granulating zinc leaching residues, zinc leaching residue material and application thereof
申请号:
202010013324.4
公开号:CN111118283A 主分类号:C22B1/24
申请人:
【中文】云南云铜锌业股份有限公司【EN】YUNNAN YUNTONG ZINC Co.,Ltd.
申请日:2020.01.07 公开日:2020.05.08
发明人:
【中文】王洪亮
;
吴琼仙
;
陈国木
;
刘志民
;
倪源
;
周中华
;
何金
;
尹亚平
;
胡琼
;
胡德虎
;
李明超
;
陈浩
;
孟奇
;
刘建平【EN】Wang Hongliang
;
Wu Qiongxian
;
Chen Guomu
;
Liu Zhimin
;
Ni Yuan
;
Zhou Zhonghua
;
He Jin
;
Yin Yaping
;
Hu Qiong
;
Hu Dehu
;
Li Mingchao
;
Chen Hao
;
Meng Qi
;
Liu Jianping
摘要:【中文】本发明公开了一种锌浸出渣的制粒方法与锌浸出渣物料及其应用,其中,所述锌浸出渣的制粒方法包括:获取锌浸出渣;将所述锌浸出渣与石灰混合,得到混合物料;将所述混合物料进行堆存;将堆存后的混合物料与燃料混合得到配入燃料的混合料,再向所述配入燃料的混合料中混入次氧化锌粉进行制粒,完成锌浸出渣的制粒。本发明提供浸出渣的制粒方法无需采用干燥窑对浸出渣进行干燥,即可使制粒前的物料的水分满足制粒系统的要求,解决现有技术中需采用干燥窑对锌浸出渣进行干燥导致的投资及运行成本较大的问题。 【EN】The invention discloses a zinc leaching residue granulating method, a zinc leaching residue material and application thereof, wherein the zinc leaching residue granulating method comprises the following steps: obtaining zinc leaching residues; mixing the zinc leaching residues with lime to obtain a mixed material; stacking the mixed materials; and mixing the stacked mixed materials with fuel to obtain a fuel-blended mixture, and then mixing secondary zinc oxide powder into the fuel-blended mixture for granulation to complete the granulation of zinc leaching residues. The method for granulating the leaching slag provided by the invention can ensure that the moisture of the material before granulation meets the requirement of a granulating system without drying the leaching slag by adopting a drying kiln, and solves the problem of higher investment and operation cost caused by the fact that the zinc leaching slag needs to be dried by adopting the drying kiln in the prior art.
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