SCANNING TECHNIQUES FOR GIS DATA INPUTING AND MAPIN GRAPHICS SCANNING SYSTEM

doi:10.6046/gtzyyg.1995.01.07

Download: PDF(480 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract This paper describes the scanning techniques for GISdata inputing and presents, a new scanning vectorization scheme based on greyscale image processing. Asoftware system named MAPINis developed according to this scheme.The key techniques of the system, such as adaptive line following,automatic image editing, whole image vectorization, sub-pixel location of control points, vector data connection, and so on, are discussed emphatically in the paper. Finally some experimental results are given to illustrate the feasibility of the scheme and the practicality of the system.

Keywords Land surface temperature MODIS Validation Sensitivity analysis ASTER

Issue Date: 02 August 2011

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	GAO Mao-Fang
	QIN Zhi-Hao
	GAO Bing-Xin
	CHEN Chong
	SHI Jian

Cite this article:

GAO Mao-Fang,QIN Zhi-Hao,GAO Bing-Xin, et al. SCANNING TECHNIQUES FOR GIS DATA INPUTING AND MAPIN GRAPHICS SCANNING SYSTEM[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(1): 35-40.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.1995.01.07 OR https://www.gtzyyg.com/EN/Y1995/V7/I1/35

[1] 林宗坚,卢健,邸凯昌.基于机算机视觉的专题图读取系统.武汉测绘科技大学学报,1992,17(2):8-17

[2] Suzuki S, YamadTa T. MARIS: map recognition input system.Pattern Recognition, 1990, 23(8):919-933

[3] Musavi M T et al., A vision based method to automatic map Processing. Pattern Recognition, 1988,21 (4): 319-326

[4] Ebi N, Lauterbach B, Bcsslich Ph. Automatic data acquisition from topographic maps using a know-ledge-based image analysis system. ISPRS, Comm. IV, Washington: 1992

[5] Di Kaichang, Lin Zongjian, Lu ,]ian. A thematic map reading system. ISPRS Comm. IV, Washington:1992

[6] Wen Shimin. Land use statistics using automatic scan digitizing method. ISPRS Comm. IV, Washing-ton:1992

[1]	LIU Wen, WANG Meng, SONG Ban, YU Tianbin, HUANG Xichao, JIANG Yu, SUN Yujiang. Surveys and chain structure study of potential hazards of ice avalanches based on optical remote sensing technology: A case study of southeast Tibet[J]. Remote Sensing for Natural Resources, 2022, 34(1): 265-276.
[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]	FENG Dongdong, ZHANG Zhihua, SHI Haoyue. Fine extraction of urban villages in provincial capitals based on multivariate data[J]. Remote Sensing for Natural Resources, 2021, 33(3): 272-278.
[6]	WEI Geng, HOU Yuqiao, HAN Jiamei, ZHA Yong. The estimation of PM_2.5 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]	AN Jianjian, MENG Qingyan, HU Die, HU Xinli, YANG Jian, YANG Tianliang. The detection and determination of the working state of cooling tower in the thermal power plant based on Faster R-CNN[J]. Remote Sensing for Land & Resources, 2021, 33(2): 93-99.
[9]	DONG Tiancheng, YANG Xiao, LI Hui, ZHANG Zhi, QI Rui. The extraction of plateau lakes from SAR images based on Faster R-CNN and MorphACWE model[J]. Remote Sensing for Land & Resources, 2021, 33(1): 129-137.
[10]	WEN Yanan, CHE Yahui, GUANG Jie, ZHANG Xiaomei, LI Zhengqiang. Quality evaluation of forest cover products over China[J]. Remote Sensing for Land & Resources, 2020, 32(3): 32-38.
[11]	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.
[12]	Jie CHEN, Zihong GAO, Shanshan WANG, Dingjian JIN. A review on the development of aerial remote sensing geological survey technology in the Three Gorges Reservoir area[J]. Remote Sensing for Land & Resources, 2020, 32(2): 1-10.
[13]	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.
[14]	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.
[15]	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.