The research of East China seacoast remote sensing image and vector data fusion

Hansong Zhang; Zhihua Mao; Xin Liu

doi:10.1117/12.799903

14 October 2008 The research of East China seacoast remote sensing image and vector data fusion

Hansong Zhang, Zhihua Mao, Xin Liu

Proceedings Volume 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII; 71101H (2008) https://doi.org/10.1117/12.799903
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

Data fusion is always a hot field in remote sensing research. It mainly includes checking, correlating, integrating and estimating multiple kinds of Data. Integration of global remote sensing image and local vector data is often necessary. In this paper, for global east Chinese high resolution remote sensing coast zone image and local vector data about ocean planning, we will introduce one way based on ArcGIS, in which the two kinds of data would be rapidly integrated. First, we change the vector data into raster data, then adjust these raster data precisely by Georeferencing module of ArcGIS, then vector and integrate data which we needed by Arcscan module of ArcGIS, at last, we program custom codes to solve the conflict between integrated new data and old data in VBA of ArcGIS. In the process, we wish to improve efficiency through a good management of map raster data.

Citation Download Citation

Hansong Zhang, Zhihua Mao, and Xin Liu "The research of East China seacoast remote sensing image and vector data fusion", Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71101H (14 October 2008); https://doi.org/10.1117/12.799903

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available