Village detection based on deep semantic segmentation network in Google Earth satellite images

Jiange Liu; Dejun Mu; Jian He

doi:10.1117/12.2502849

9 August 2018 Village detection based on deep semantic segmentation network in Google Earth satellite images

Jiange Liu, Dejun Mu, Jian He

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108065S (2018) https://doi.org/10.1117/12.2502849
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

Segmenting remote sensing images into no fly zone and open zone is the base of digital geo-fencing construction which is important for the development of unmanned aerial vehicle (UAV) management and control system. The human based segmentation is time consuming, labor intensive and cannot satisfy the real time requirement. Therefore, the automatic segmentation is strongly desired. This study, starting with the rural area in Google Earth satellite images, defines the village as the no fly zone, and other regions are defined as the open zone. The proposed method utilized a deep semantic segmentation network to detect village. A convolution encoder and decoder architecture of SegNet are applied to extract features, and a weighted soft-max classifier, in order to solve the imbalance of sample numbers, is chosen to label the image in pixel level. The results show that it is an effective way to detect the village and exhibit a high accuracy (98%). The method not only can be used as the first step of the automatic construction of digital geo-fencing, but also in the environmental analysis, disaster monitoring of rural area and many other applications.

Citation Download Citation

Jiange Liu, Dejun Mu, and Jian He "Village detection based on deep semantic segmentation network in Google Earth satellite images", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108065S (9 August 2018); https://doi.org/10.1117/12.2502849

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
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Image classification

Remote sensing

Unmanned aerial vehicles

Computer programming

Convolution

Earth observing sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years