bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 158, Issue 11, November 2013, pp. 171-176




Remote Sensing Monitoring System of Land Coverage Change in Mining Area
1 Yanbin WU, 2 Liangjun LI

1 School of Management Science and Engineering, Hebei University of Economic and Business, Shijiazhuang 050061, China

2 Public Geological Survey Management Center of Anhui Province, Hefei 230001, China
E-mail: yanbin_wu@yeah.net


Received: 20 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: Based on remote sensing images, the panoramic views of land coverage distribution across a large geographic area can be accessed conveniently. Remote sensing monitoring system of land coverage change in mining area, which is a complex information system based on spatial database to manage multi-source heterogeneous data, was proposed in this article. The system structure, function and development strategy were studied in this paper. Remote sensing image fusion and classification are the key technologies in this system. The remote sensing image fusion method which is based on multi-band wavelet was discussed. Based on remote sensing image, the Chaos Immune Algorithm was proposed to improve the accuracy of land coverage classification. The results showed that this system can integrate the multi-source heterogeneous spatial data, including remote sensing image, vector data and related properties data into the whole body, also demonstrate graphical visualization and analyze compositely.


Keywords: Remote sensing images, Monitoring system, Land coverage change, Mine area, Fusion, Classification.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Download <here> the Library Journal Recommendation Form






1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn