| 深度学习方法应用于深圳市多调合一工作的思考 |
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| 引用本文： | 孙薇,李胜,江鹢,柯水松,夏安科. 深度学习方法应用于深圳市多调合一工作的思考[J]. 测绘通报, 2021, 0(1): 138-141. DOI: 10.13474/j.cnki.11-2246.2021.0026 |
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| 作者姓名： | 孙薇 李胜 江鹢 柯水松 夏安科 |
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| 作者单位： | 深圳市规划国土房产信息中心,广东 深圳518034;深圳市空间地理信息中心,广东 深圳518034;深圳市规划国土房产信息中心,广东 深圳518034;深圳市空间地理信息中心,广东 深圳518034;深圳市规划国土房产信息中心,广东 深圳518034;深圳市空间地理信息中心,广东 深圳518034;深圳市规划国土房产信息中心,广东 深圳518034;深圳市空间地理信息中心,广东 深圳518034;深圳市规划国土房产信息中心,广东 深圳518034;深圳市空间地理信息中心,广东 深圳518034 |
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| 摘 要： | 多调合一是实现调查成果数据融合,从源头上解决数据多样、数据冲突等问题的有效手段.该项工作的完成需要结合地区的实际情况,建立统一的调查监测评价体系,协同开展基础调查和专项调查工作.因此,首先需要在空间上保持基础调查单元划分的有效性,才能保证专项调查单元能够通过基础调查单元进行归并及获取;其次,需要在基础调查和专题调查中保...
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| 关 键 词： | 多调合一 基础调查 专项调查 深度学习 影像分类 目标识别 |
| 收稿时间： | 2020-11-16 |
Reflection on the application of deep learning method in"multiple-investigation-coordination"in Shenzhen |
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| SUN Wei,LI Sheng,JIANG Yi,KE Shuisong,XIA Anke. Reflection on the application of deep learning method in"multiple-investigation-coordination"in Shenzhen[J]. Bulletin of Surveying and Mapping, 2021, 0(1): 138-141. DOI: 10.13474/j.cnki.11-2246.2021.0026 |
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| Authors: | SUN Wei LI Sheng JIANG Yi KE Shuisong XIA Anke |
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| Affiliation: | 1. Shenzhen Municipal Planning & Land Real Estate Information Centre, Shenzhen 518034, China;2. Shenzhen Geospatial Information Center, Shenzhen 518034, China |
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| Abstract: | Multiple-investigation-coordination is an effective method to achieve data fusion from varies kinds of investigation activities which solves the problem of heterogeneity and conflict of data source. The foundation of the work requires not only unified investigation and estimation system but also synchronously pushing forward the basic investigation and special investigation based on the local circumstances. As a result,to make sure the correctness of acquisition of investigate unit of special investigation,the first priority is to keep the validity of the basic unit division. Moreover,the correctness of classification in the both investigating activities should be guaranteed. In the paper,we consider the application prospect of deep learning method of image classification and object recognition in the"Multiple-investigation-coordination"works in Shenzhen in order to reduce the human labor compared with traditional outdoor investigating tasks and analyze how to improve the accuracy of the classification result. With the continuous improvement of deep learning method,the effectiveness of such method applied in the natural resource investigation activities will enhance constantly. |
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| Keywords: | multiple-investigation-coordination basic investigation special investigation deep learning image classification object recognition |
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