By Topic

Land cover information extraction based on multi-temporal HJ-1 satellite images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Feng Zhang ; Environ. Satellite Centre, Beijing, China ; Yanting Wu ; Ying Li

We proposed a remote sensing image classification method based on the object's phenological characteristics as auxiliary information: obtained the NDVI time series data after processing the CCD images, then, got the object's NDVI time series curve as the phonological information, based on this, selected classification training area of various objects so as to complete image classification, afterwards, used random sampling method to evaluate the precision of classification results. The evaluation demonstrated that this method could distinguish various land cover types exactly, besides, had high classification accuracy. The method was a viable remote sensing image classification and can be applied in large scale land cover classification.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Date of Conference:

22-27 July 2012