A method for classification training samples spatial-time expanding of remote sensing image

Guangbo Ren; Jie Zhang; Yi Ma; Rong-er Zheng

doi:10.1117/12.855159

2 April 2010 A method for classification training samples spatial-time expanding of remote sensing image

Guangbo Ren, Jie Zhang, Yi Ma, Rong-er Zheng

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76510G (2010) https://doi.org/10.1117/12.855159
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

Abstract

Because of the environment conditions of the ground targets have been changing when the remote sensing images are acquired, so it is known that labeled samples from one remote sensing image is almost imposable to be used in another image classification, because the spectral signatures are various. But once it can be done successfully it will lead to great resource preserving and high work efficiency. This article proposes a classification samples spatial-time domain expanding method to address this issue. In this method, we choose training samples from a reference image, then classify the images in space and time neighborhood of the reference image by the classifier which is trained with these labeled samples. Before classifying, the relative radio-correcting (or to say radiometric normalization) of the images to be classified need be done, and it is the key step. Three classification experiments, which were the reference image and the image need be classified have only different acquisition time, only different cover region, and both the different acquisition time and different cover region, are successfully carried out. The results prove that our method has done well in classification samples expanding application in time domain, in space domain and both in the two domains.

Citation Download Citation

Guangbo Ren, Jie Zhang, Yi Ma, and Rong-er Zheng "A method for classification training samples spatial-time expanding of remote sensing image", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510G (2 April 2010); https://doi.org/10.1117/12.855159

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Remote sensing

Radiometric corrections

Image classification

Image processing

Environmental sensing

Target acquisition

Image sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years