测绘通报 ›› 2016, Vol. 0 ›› Issue (8): 77-80,94.doi: 10.13474/j.cnki.11-2246.2016.0261
Previous Articles Next Articles
ZHOU Yi1,2, ZHANG Yaya1,2
Received:
2015-08-24
Revised:
2016-02-29
Online:
2016-08-25
Published:
2016-08-26
CLC Number:
ZHOU Yi, ZHANG Yaya. Test of Land Use Interpretation Ability with Satellite Data of GF-1 Using the eCognition[J]. 测绘通报, 2016, 0(8): 77-80,94.
[1] 中华人民共和国国土资源部. "高分一号"卫星发射成功[EB/OL].[2013-05-02].http://www.mlr.gov.cn/xwdt/jrxw/201305/t20130502_1209918.htm. [2] 梅安新,彭望琭,秦其明,等.遥感导论[M].北京:高等教育出版社,2001. [3] 王文宇,李博.基于eCogniton的高分辨率遥感图像的自动识别分类技术[J].北京建筑工程学院学报,2006(4):26-29. [4] 周春艳,王萍,张振勇,等.基于面向对象信息提取技术的城市用地分类[J].遥感技术与应用,2008,23(1):31-35. [5] 孙晓霞,张继贤,刘正军.利用面向对象的分类方法从IKONOS全色影像中提取河流和道路[J].测绘科学,2006,31(1):62-63. [6] 魏飞鸣.基于对象信息的遥感影像分类研究[D].成都:电子科技大学,2008. [7] 丁晓英.eCognition在土地利用项目中的应用[J].测绘与空间地理信息,2005,28(6):116-120. [8] 蒋好忱,任宏权,秦先峰,等.eCognition影像自动解译及精度评价[J].测绘通报,2015(10):81-84. [9] 葛春青,张凌寒,杨杰.基于决策树规则的面向对象遥感影像分类[J].遥感信息,2009(2):86-90. [10] 杜凤兰.面向对象的地物分类方法分析与评价[J].遥感技术与应用,2004,19(1):20-23. [11] 术洪磊,毛赞猷.GIS辅助下的基于知识的遥感影像分类方法研究——以土地覆盖/土地利用类型为例[J].测绘学报,1997,26(4):328-336. [12] 杨大志,付洛玲,段嵘峰,等.基于面向对象分类方法的SPOT5影像土地利用信息提取研究——以河南省临颍县为例[C]//中国土地学会学术年会论文集.北京:地质出版社,2007:609-614. [13] 程滔,刘若梅,周旭.基于高分辨率遥感影像的地理国情普查水体信息提取方法[J].测绘通报,2014(4):86-89. [14] 王萍,张继贤,林宗坚,等.基于多源遥感数据融合的土地利用/土地覆盖变化信息提取试验[J].测绘通报,2003(4):14-17. |
[1] | WANG Yanjun, LIN Yunhao, WANG Shuhan, LI Shaochun, WANG Mengjie. 3D road boundary extraction based on mobile laser scanning point clouds and OSM data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 18-25. |
[2] | LIU Lin, SUN Yi, LI Wanwu. Detection model construction based on CNN for offshore drilling platform and training algorithm analysis [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 26-32,99. |
[3] | KONG Ruiyao, XIE Tao, MA Ming, KONG Ruilin. Application of CatBoost model in water depth inversion [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 33-37. |
[4] | WEN Yuxiao, Lü Jie, MA Qingxun, ZHANG Peng, XU Ruling. Study on inversion of forest biomass by LiDAR and hyperspectral [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 38-42. |
[5] | JIANG Zelin, DENG Jian, LUAN Haijun, LI Lanhui. Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 43-48. |
[6] | ZHENG Yan, HE Huan, BU Lijing, JIN Xin. Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 54-59. |
[7] | RAN Chongxian, LI Senlei. Tree canopy delineation using UAV multispectral imagery [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 112-117. |
[8] | LIU Li, DONG Xianmin, LIU Juan, WEN Xuehu. A new method of remote sensing interpretation production based on integration of human-machine and intelligence [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 118-123,137. |
[9] | AI Min, JING Hui, TIAN Yudong, GUO Lanqin, PEI Yuanjie. Analysis of land use and coverage change and driving force in Hulan district of Harbin city in recent 20 Years [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 124-128. |
[10] | LIU Yuxian, RUAN Minghao, YAN Zhen. A method for accurate extraction of gated electric towers based on airborne laser point cloud [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 129-133. |
[11] | LIU Guochao, PENG Weiping, YANG Shuihua, HU Zhouwen. Detection and application of urban road disease based on ground penetrating radar+3D measuring endoscope [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 134-137. |
[12] | LIU Xiaoyu, LIU Yang, DU Mingyi, ZHANG Min, JIA Jingjue, YANG Heng. Research on construction and demolition waste stacking point identification based on DeeplabV3+ [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 16-19,43. |
[13] | LI Jiahao, ZHOU Lü, MA Jun, YANG Fei, XIAN Lingxiao. Deformation monitoring and mechanism analysis of urban subway line based on PS-InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 20-25. |
[14] | SHI Yun, SHI Longlong, NIU Minjie, ZHAO Kan. Multi-task automatic identification of loess landslide based on one-stage instance segmentation network [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 26-31. |
[15] | DOU Shiqing, CHEN Zhiyu, XU Yong, ZHENG Hegang, MIAO Linlin, SONG Yingying. Hyperspectral image classification based on multi-feature fusion and dimensionality reduction algorithms [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 32-36,50. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||