Clouds removal from remotely sensed images by using a bandelet-based reconstruction technique

Aldo Maalouf; Philippe Carré; Bertrand Augereau; Christine Fernandez-Maloigne

doi:10.1117/12.731426

2 October 2007 Clouds removal from remotely sensed images by using a bandelet-based reconstruction technique

Aldo Maalouf, Philippe Carré, Bertrand Augereau, Christine Fernandez-Maloigne

Proceedings Volume 6763, Wavelet Applications in Industrial Processing V; 67630L (2007) https://doi.org/10.1117/12.731426
Event: Optics East, 2007, Boston, MA, United States

Abstract

The recurrent presence of clouds and clouds shadows in aerial or remotely sensed images is an awkward problem that severely limits the regular exploitations capability of these images. Removing cloud-contaminated portions of the image and then filling in the missing data represent an important photo editing cumbersome task. The intent of this work is to propose a technique for the reconstruction of areas obscured by clouds in a remotely sensed image. To this end, a new efficient reconstruction technique for missing data synthesis is presented. This technique is based on the Bandelet transform and the multiscale geometrical grouping. It consists of two steps. In the first step, the curves of geometric flow of different zones of the image are determined by using the Bandelet transform with multiscale grouping. This step allows a better representation of the multiscale geometry of the image's structures. Having well represented this geometry, the information inside the cloud-contaminated zone is synthesized by propagating the geometrical flow curves inside that zone. This step is accomplished by minimizing a functional whose role is to reconstruct the missing or cloud contaminated zone independently of the size and topology of the reconstruction or inpainting domain. Thus, the flow lines are well tied inside the cloud-contaminated zone. The proposed technique is illustrated with some examples on processing multispectral aerial images. The obtained results are compared with those obtained by other clouds removal techniques.

Citation Download Citation

Aldo Maalouf, Philippe Carré, Bertrand Augereau, and Christine Fernandez-Maloigne "Clouds removal from remotely sensed images by using a bandelet-based reconstruction technique", Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 67630L (2 October 2007); https://doi.org/10.1117/12.731426

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
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Clouds

Wavelets

Image classification

Image processing

Reconstruction algorithms

Wavelet transforms

Image segmentation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years