Journal of Geo-information Science ›› 2020, Vol. 22 ›› Issue (10): 2051-2061.doi: 10.12082/dqxxkx.2020.200001
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Received:
2020-01-01
Revised:
2020-04-01
Online:
2020-10-25
Published:
2020-12-25
Contact:
LIU Wei
E-mail:guozihui@jsnu.edu.cn;liuw@jsnu.edu.cn
Supported by:
GUO Zihui, LIU Wei. Land Type Interpretation Authenticity Check of Vector Patch Supported by Deep Learning and Remote Sensing Image[J].Journal of Geo-information Science, 2020, 22(10): 2051-2061.DOI:10.12082/dqxxkx.2020.200001
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[1] | 石高兵. 矢量数字地图数据质量检查内容及影响质量因素分析[J]. 北京测绘, 2015(5):110-112. |
[ Shi G B. Quality inspection content of vector digital map data and analysis of factors affecting quality[J]. Beijing Surveying and Mapping, 2015(5):110-112. ] | |
[2] | 吴长彬, 闾国年, 舒飞跃. 基于知识与规则的地籍数据质量检查方法[J]. 地理与地理信息科学, 2007,23(5):22-25,30. |
[ Wu C B, Lu G N, Shu F Y. Quality inspection method of cadastral data based on knowledge and rules[J]. Geography and Geographic Information Science, 2007,23(5):22-25,30. ] | |
[3] | 覃东华. 基于FME的地理国情监测矢量数据接边检查方法的探讨[J]. 城市勘测, 2018(5):42-44,48. |
[ Qin D H. Discussion on the method of edge checking for vector data of geographical situation monitoring based on FME[J]. Urban Survey, 2018(5):42-44,48. ] | |
[4] | 钱海忠, 武芳, 郭健, 等. 基于制图综合知识的空间数据检查[J]. 测绘学报, 2006(2):184-190. |
[ Qian H Z, Wu F, Guo J, et al. Spatial data checking based on cartographic generalization knowledge[J]. Journal of Surveying and mapping, 2006(2):184-190. ] | |
[5] | 刘建军, 王东华, 商瑶玲. 国家1:50 000 DLG数据库质量检查软件的设计和开发[J]. 地理信息世界, 2006(4):23-26. |
[ Liu J J, Wang D H, Shang Y L. Design and development of national 1:50 000 DLG database quality inspection software[J]. World of Geographic Information, 2006 (4):23-26. ] | |
[6] | 潘重阳. 浅谈Geoway在矢量数据检查中的应用[A]. 中国测绘学会科技信息网分会. 全国测绘科技信息网中南分网第二十八次学术信息交流会论文集[C]. 中国测绘学会科技信息网分会:中国测绘学会科技信息网分会, 2014: 4. |
[ Pan C Y. On Geoway's application in vector data inspection[A]. Science and technology information network branch of China Society of Surveying and mapping. Proceedings of the 28th academic information exchange meeting of South Central Branch of national science and technology information network of Surveying and mapping[C]. Science and technology information network branch of China Society of Surveying and mapping: Science and technology information network branch of China Society of Surveying and mapping, 2014: 4. ] | |
[7] | 张晏. 《第三次全国土地调查总体方案》发布[J]. 资源导刊, 2018(1):6. |
[ Zhang Y. The Third General Plan of National Land Survey was published[J]. Resource Guide, 2018(1):6. ] | |
[8] | 政策[J]. 资源导刊, 2018(12):5. |
[ Policy[J]. Resource Guide, 2018(12):5. ] | |
[9] | 孙志军, 薛磊, 许阳明, 等. 深度学习研究综述[J]. 计算机应用研究, 2012,29(8):2806-2810. |
[ Sun Z J, Xue L, Xu Y M, et al. A review of deep learning research[J]. Computer Application Research, 2012,29(8):2806-2810. ] | |
[10] | 李翔宇, 孙晓庆. 基于深度学习的图像分类分析研究[J]. 中国信息化, 2019(4):48-50. |
[ Li X Y, Sun X Q. Image classification and analysis based on deep learning[J]. China informatization, 2019(4):48-50. ] | |
[11] | Liu W, Yang M Y, Xie M, et al. Accurate building extraction from fused DSM and UAV images using a chain fully convolutional neural network[J]. Remote Sensing, 2019,11(24):2912. |
[12] | 罗希平, 田捷, 诸葛婴, 等. 图像分割方法综述[J]. 模式识别与人工智能, 1999,12(3):300-312. |
[ Luo X P, Tian J, Zhuge Y, et al. Overview of image segmentation methods[J]. Pattern Recognition and Artificial Intelligence, 1999,12(3):300-312. ] | |
[13] | Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]// International Conference on Neural Information Processing Systems. Curran Associates Inc, 2012: 1097-1105. |
[14] | Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[EB/OL]. [2014-09-04]. https://arxiv.org/abs/1712.031497. |
[15] | 庄福振, 罗平, 何清, 等. 迁移学习研究进展[J]. 软件学报, 2015,26(1):26-39. |
[ Zhuang F Z, Luo P, He Q, et al. Research progress of transfer learning[J]. Journal of Software, 2015,26(1):26-39. ] | |
[16] | 郑远攀, 李广阳, 李晔. 深度学习在图像识别中的应用研究综述[J]. 计算机工程与应用, 2019,55(12):20-36. |
[ Zheng Y P, Li G Y, Li Y. A review of the application of deep learning in image recognition[J]. Computer Engineering and Application, 2019,55(12):20-36. ] | |
[17] | Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]// IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2015: 1-9. |
[18] | Szegedy C, Vanhoucke V, Ioffe S, et al. Rethinking the Inception Architecture for Computer Vision[C]// IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 2016: 2818-2826. |
[19] | 李彦冬, 郝宗波, 雷航. 卷积神经网络研究综述[J]. 计算机应用, 2016,36(9):2508-2515,2565. |
[ Li Y D, Hao Z B, Lei H. Review of convolutional neural network research[J]. Computer Application, 2016,36(9):2508-2515,2565. ] | |
[20] | 王莉影, 高心丹. 基于迁移学习的遥感影像树种类型分类[J]. 实验室研究与探索, 2019,38(9):29-33,78. |
[ Wang L Y, Gao X D. Classification of tree species in remote sensing image based on migration learning[J]. Laboratory Research and Exploration, 2019,38(9):29-33,78. ] | |
[21] | 周飞燕, 金林鹏, 董军. 卷积神经网络研究综述[J]. 计算机学报, 2017,40(6):1229-1251. |
[ Zhou F Y, Jin L P, Dong J. Review of convolution neural network research[J]. Journal of Computer Science, 2017,40(6):1229-1251. ] |
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