Classifying rural land-use using multi-feature approach for national land-use survey

Fan Xia; Y. F. Liu

doi:10.1117/12.761302

26 July 2007 Classifying rural land-use using multi-feature approach for national land-use survey

Fan Xia, Y. F. Liu

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 675235 (2007) https://doi.org/10.1117/12.761302
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

This study put forward a standardize classification model which can meet the requirement of rural land use survey and be suitable for large-scale promotion at the same time, but not merely the research limited in the experiment lab.. In this processing, the land cover classification may adopt the mutli-feature image classification method as followed. Firstly, a class scheme was defined. Then, some suitable features were selected, and every subclass was characterized with a unique combination of these features, in which landscape pattern parameter is one of essential features in consideration. Landscape pattern parameters can treat surface features and its distribution as integration and synthesis, which would help much to the classification. Using these features, image could be recognized and classified easily. Lastly, verify the precision and accuracy of the classification model. By using this classification method, classification accuracy can be improved, and the classification results were easier interpreted when compared with the conventional classification method.

Citation Download Citation

Fan Xia and Y. F. Liu "Classifying rural land-use using multi-feature approach for national land-use survey", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675235 (26 July 2007); https://doi.org/10.1117/12.761302

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