Ms. Meng Yu Profile

Meng Yu

at Institute of Remote Sensing and Digital Earth

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 14 November 2007 Paper

Application of object-oriented approach in SPOT5 image classification: a case study of interpretation of mudstone in Taiwan

Yu Meng, Zhongming Zhao, Shu Peng

Proceedings Volume 6790, 67900S (2007) https://doi.org/10.1117/12.747323

KEYWORDS: Image segmentation, Image processing, Image classification, Roads, Clouds, Remote sensing, Image resolution, Vegetation, Feature extraction, Accuracy assessment

Read Abstract +

SPOT5 imagery is widely used in urban planning, investigation of land utilization, environmental management etc. for its relatively high-resolution. Object-oriented classification techniques based on image segmentation are being actively studied in the high-resolution image process and interpretation to extract a variety of thematic information. Different from the pixel-based image analysis, the processing of the object-oriented method is based on image segment, not single pixel. The object-oriented classification includes two consecutive processes. An image is subdivided into separated regions according to the spectral and spatial heterogeneity in the image segmentation process. Then the objects are assigned to a specific class according to the class's detailed description in the image classification process. As a case study, the study area is a part of the Taiwan, whose mudstone bare-land is a significant problem due to the poor condition of the soil-physical and microclimate. The SPOT-5 image in March of 2006 is segmented and then these segments are classified to hierarchically linked objects by the eCognition software. By using manual interpreted aerial photo of the same area and traditional classification results as reference for accuracy assessment, this study has higher accuracy compared with the traditional classification.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years