测绘通报 ›› 2015, Vol. 0 ›› Issue (4): 78-81.doi: 10.13474/j.cnki.11-2246.2015.0116
Previous Articles Next Articles
LI Qiang1, ZHANG Jingfa1, NIU Ruiqing2
Received:
2014-03-26
Online:
2015-04-25
Published:
2015-04-28
CLC Number:
LI Qiang, ZHANG Jingfa, NIU Ruiqing. Damaged Road Extraction from Post-seismic Remote Sensing Images Based on GIS and Object-oriented Method[J]. 测绘通报, 2015, 0(4): 78-81.
[1] 赵福军,赵磊.面向对象的遥感震害信息提取方法—以汶川地震为例[J].地震,2009(29):130-138. [2] 任玉环,刘亚岚,魏成阶.汶川地震道路震害高分辨率遥感信息提取方法探讨[J].遥感技术与应用,2009,24(1):52-56. [3] 陈世荣,马海建,范一大.基于高分辨率遥感影像的汶川地震道路损毁评估[J].遥感学报,2008,12(6):949-954. [4] 秦军,曹刚,耿娟.汶川地震灾区道路损毁度遥感评估模型[J].西南交通大学学报,2010,45(5):768-774. [5] 杨中,王玮,王彩芬.基于GIS的道路震害损毁评估方法研究与实现[J].科技情报开发与经济,2010,20(26):164-166. [6] 马欢,楚恒,王汝言.纹理与几何特征在道路提取中的应用[J].计算机与现代化,2012(7):96-99. [7] 刘长英,万广欣,徐雷.GIS在地震预报、地震灾害和损失估计中的应用[J].测绘与空间地理信息,2009,32(3):159-164. [8] 胡进刚,张晓东,沈欣,等.一种面向对象的高分辨率影像道路提取方法[J].遥感技术与应用,2006,21(3):184-188. [9] 申真,张杰云.基于面向对象的高分辨率遥感影像道路提取研究[J].科学之友,2011(22):3-5. [10] 张明媚.面向对象的高分辨率遥感影像建筑物特征提取方法研究[D].太原:太原理工大学,2012. |
[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] | YUE Shengjie, WANG Hongqi, LIU Qunpo, ZHAO Rongliang. Adaptive pose estimation for robot based on extended Kalman filter and point-line iterative closest point [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 49-53. |
[7] | 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. |
[8] | RAN Chongxian, LI Senlei. Tree canopy delineation using UAV multispectral imagery [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 112-117. |
[9] | 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. |
[10] | 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. |
[11] | 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. |
[12] | 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. |
[13] | YANG Jun, LIU Linghui. Feature extraction of spatial and temporal change of land in functional areas based on weighted full-polarization SAR image classification [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 138-142,153. |
[14] | RUAN Minghao, LU Yonghua, LIU Yuxian, TANG Shengjun, WANG Weixi, ZHANG Yuqi, LI You. Registration and seamless fusion of point cloud from LiDAR and oblique photography [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 6-10. |
[15] | 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. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||