Shadows detection and removal of IKONOS imagery based on spatial-distribution relations

Yingbao Yang; Weizhong Su; Sansheng Cheng; Yanwen Li

doi:10.1117/12.712589

28 October 2006 Shadows detection and removal of IKONOS imagery based on spatial-distribution relations

Yingbao Yang, Weizhong Su, Sansheng Cheng, Yanwen Li

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641903 (2006) https://doi.org/10.1117/12.712589
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

How to cull shadows and extract needed information accurately is particularly significant. For major remote sensing applications, it may be preferable that shadows are minimized and the detailed information in high-resolution satellite imagery is clear. Firstly this paper reviews some of basic methods of detecting and removing shadows, and outlines their disadvantages. Then taking Nanjing city as study area, we propose a novel method combing spatial-distribution relation with classification to detect building shadows from IKONOS imagery. When detecting and extracting shadows, a majority index based on neighborhood analysis is provided, and a 5-meter buffer analysis is operated after supervised classification. When removing the shadows, a piecewise linear contrast stretch and histogram match are used. The results show that the accuracy of shadows detection and extraction is 92.3%, but texture analysis is 88.1%, and the detail information within shadows regions is enhanced, and there are no bright edges around shadows regions by applying the techniques developed in this paper.

Citation Download Citation

Yingbao Yang, Weizhong Su, Sansheng Cheng, and Yanwen Li "Shadows detection and removal of IKONOS imagery based on spatial-distribution relations", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641903 (28 October 2006); https://doi.org/10.1117/12.712589

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

Earth observing sensors

High resolution satellite images

Image segmentation

Image classification

Image fusion

Satellite imaging

Satellites

Show All Keywords

Keywords/Phrases

Search In:

Publication Years