The development of the geographic image cognition approach on studying land degradation

Jing Wang; Yongqi Chen; Aixia Liu; Ting He; Chunyan Lv

doi:10.1117/12.849780

20 April 2010 The development of the geographic image cognition approach on studying land degradation

Jing Wang, Yongqi Chen, Aixia Liu, Ting He, Chunyan Lv

Proceedings Volume 7676, Sensing for Agriculture and Food Quality and Safety II; 76760U (2010) https://doi.org/10.1117/12.849780
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

For the extraction of land degradation information we should use not only information on climate, soil, vegetation, physiognomy, land use and its productivities, but also the knowledge and methodologies of geosciences. It is of importance to study some conceptual issues about geographic image cognition (GEOIC) on studying land degradation. The study is to discuss some conceptual issues and the theoretical background of the approach of geographic image cognition (GEOIC) on studying land degradation for building its methodological framework. Some issues concerning the approach of GEOIC on studying land degradation, especially the factors of impacting human's visual cognition, were discussed. The results indicated that the GEOIC is the objectification cognition on remote sensing images and multi-source information using geo-knowledge. As an integrated approach, it is the extension of the methodology of OBIA. The key objective of the GEOIC on studying land degradation is to simulate the function and process of the visual interpretation by experts, and extract spatial features, spatial object and spatial pattern of land degradation under the cognition mode of feature-object-pattern from remote sensing images and multi-source information. The methodology of the GEOIC is realized through the segmentation of geo-objects or meaningful image objects using remote sensing information, geographic information, vegetation, soil, and other ancillary information with geosciences knowledge and intelligence.

Citation Download Citation

Jing Wang, Yongqi Chen, Aixia Liu, Ting He, and Chunyan Lv "The development of the geographic image cognition approach on studying land degradation", Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760U (20 April 2010); https://doi.org/10.1117/12.849780

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Cognition

Remote sensing

Visualization

Diagnostics

Image processing

Image segmentation

Vegetation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years