Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1999, Vol. 11 Issue (2) : 50-54     DOI: 10.6046/gtzyyg.1999.02.09
New Methods and Technologies |
OPTIMUM SEGMENTATION OF SEQUENTIAL ROCK REMOTE SENSING INFORMATION
Liu Qingsheng
Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Download: PDF(251 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

Sequential rock remote sensing information is a group of rocks which are related with each other in space or space and time. This paper uses optimum segmentation method to divide the sequential rocks of Seerteng mountain, Inner Mongolia Autonomous Region, and gets the good results. At the same time, the paper points out the advantages and disadvantages of this methods.

Keywords  Land grading      Grading factor      MODIS      NDVI     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
ZHANG Yu-Mei
CUI Lai-Yun
Cite this article:   
ZHANG Yu-Mei,CUI Lai-Yun. OPTIMUM SEGMENTATION OF SEQUENTIAL ROCK REMOTE SENSING INFORMATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(2): 50-54.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1999.02.09     OR     https://www.gtzyyg.com/EN/Y1999/V11/I2/50

1 赵麟大.胡旺亮.李紫金.矿床统计预侧.北京:地质出版社,1983

[1] SHI Feifei, GAO Xiaohong, XIAO Jianshe, LI Hongda, LI Runxiang, ZHANG Hao. Classification of wolfberry planting areas based on ensemble learning and multi-temporal remote sensing images[J]. Remote Sensing for Natural Resources, 2022, 34(1): 115-126.
[2] HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning. Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[3] ZHANG Aizhu, WANG Wei, ZHENG Xiongwei, YAO Yanjuan, SUN Genyun, XIN Lei, WANG Ning, HU Guang. A hierarchical spatial-temporal fusion model[J]. Remote Sensing for Natural Resources, 2021, 33(3): 18-26.
[4] WEI Geng, HOU Yuqiao, ZHA Yong. Analysis of aerosol type changes in Wuhan City under the outbreak of COVID-19 epidemic[J]. Remote Sensing for Natural Resources, 2021, 33(3): 238-245.
[5] LIU Yongmei, FAN Hongjian, GE Xinghua, LIU Jianhong, WANG Lei. Estimation accuracy of fractional vegetation cover based on normalized difference vegetation index and UAV hyperspectral images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 11-17.
[6] WEI Geng, HOU Yuqiao, HAN Jiamei, ZHA Yong. The estimation of PM2.5 mass concentration based on fine-mode aerosol and WRF model[J]. Remote Sensing for Land & Resources, 2021, 33(2): 66-74.
[7] CHEN Baolin, ZHANG Bincai, WU Jing, LI Chunbin, CHANG Xiuhong. Historical average method used in MODIS image pixel cloud compensation: Exemplified by Gansu Province[J]. Remote Sensing for Land & Resources, 2021, 33(2): 85-92.
[8] DU Fangzhou, SHI Yuli, SHENG Xia. Research on downscaling of TRMM precipitation products based on deep learning: Exemplified by northeast China[J]. Remote Sensing for Land & Resources, 2020, 32(4): 145-153.
[9] YANG Huan, DENG Fan, ZHANG Jiahua, WANG xueting, MA Qingxiao, XU Nuo. A study of information extraction of rape and winter wheat planting in Jianghan Plain based on MODIS EVI[J]. Remote Sensing for Land & Resources, 2020, 32(3): 208-215.
[10] Gang DENG, Zhiguang TANG, Chaokui LI, Hao CHEN, Huanhua PENG, Xiaoru WANG. Extraction and analysis of spatiotemporal variation of rice planting area in Hunan Province based on MODIS time-series data[J]. Remote Sensing for Land & Resources, 2020, 32(2): 177-185.
[11] Kailun JIN, Lu HAO. Evapotranspiration estimation in the Jiangsu-Zhejiang-Shanghai Area based on remote sensing data and SEBAL model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 204-212.
[12] Biqing WANG, Wenquan HAN, Chi XU. Winter wheat planting area identification and extraction based on image segmentation and NDVI time series curve classification model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 219-225.
[13] Bing ZHAO, Kebiao MAO, Yulin CAI, Xiangjin MENG. Study of the temporal and spatial evolution law of land surface temperature in China[J]. Remote Sensing for Land & Resources, 2020, 32(2): 233-240.
[14] Guoce SONG, Zhi ZHANG. Remote sensing monitoring method for dust and wind accumulation in multi-metal mining area of Xin Barag Right Banner,Inner Mongolia[J]. Remote Sensing for Land & Resources, 2020, 32(2): 46-53.
[15] Linyan FENG, Bingxiang TAN, Xiaohui WANG, Xinyun CHEN, Weisheng ZENG, Zhao QI. Object-oriented rapid forest change detection based on distribution function[J]. Remote Sensing for Land & Resources, 2020, 32(2): 73-80.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech