Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Cloud Removal Algorithm to Generate Cloud and Cloud Shadow Free Images Using Information Cloning
Date
2018-08-01
Author
Kalkan, Kaan
Maktav, M. Derya
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
178
views
0
downloads
Cite This
One of the main problems of optical remote sensing is clouds and cloud shadows caused by specific atmospheric conditions during data acquisition. These features limit the usage of acquired images and increase the difficulty in data analysis, such as normalized difference vegetation index values, misclassification, and atmospheric correction. Accurate detection and reliable cloning of cloud and cloud shadow features in satellite images are very useful processes for optical remote sensing applications. In this study, an automated cloud removal algorithm to generate cloud and cloud shadow free images from multitemporal Landsat-8 images is introduced. Cloud and cloud shadow areas are classified by using process-based rule set developed by using spectral and spatial features after applying simple linear iterative clustering superpixel segmentation algorithm to the image to find cloud pixel groups easily and correctly. Segmentation-based cloud detection method gives better results than pixel-based for detection of cloud and cloud shadow patches. After detection of clouds and cloud shadows, cloud-free images are created by cloning cloudless regions from multitemporal dataset. Spectral and structural consistency are preserved by considering spectral features and seasonal effects while cloning process. Statistical similarity tests are applied to find best cloud-free image to use for cloning process. Cloning results are tested with the structural similarity index metric to evaluate the performance of cloning algorithm.
Subject Keywords
Earth and Planetary Sciences (miscellaneous)
,
Geography, Planning and Development
URI
https://hdl.handle.net/11511/65151
Journal
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
DOI
https://doi.org/10.1007/s12524-018-0806-y
Collections
Unclassified, Article
Suggestions
OpenMETU
Core
A new differential geometric method to rectify digital images of the earth's surface using isothermal coordinates
Karslıoğlu, Mahmut Onur; Friedrich, E (Institute of Electrical and Electronics Engineers (IEEE), 2005-03-01)
A new method to rectify monoscopic digital images and generate orthoimages of the earth's surface is described. It replaces the standard procedure, which transfers the perspective projection of a frame photograph to an orthographic projection of pixels onto a reference plane using corresponding corrections. Instead, the perspective forward projection is kept but every pixel is vertically mapped along the surface normal onto a curved reference surface, for example, the ellipsoid of the World Geodetic System ...
Effects of implementing satellite observed aerosols into a mesoscale atmosphere model
Bay, Emine; Yücel, İsmail; Kovacs, Tom; Mccormick, M. Patrick (Informa UK Limited, 2011-01-01)
This study investigated the performance of the fifth-generation Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) Mesoscale Model (MM5) in calculating the aerosol forcing on cloud cover, incoming surface solar radiation, and near-surface air temperature via the implementation of aerosol optical depth in the shortwave radiation parameterization. MM5 simulations with and without aerosol data are performed in the periods of 6-7 August 2003 and 19-21 September 2003 during which s...
A Novel Two-Way Finite-Element Parabolic Equation Groundwave Propagation Tool: Tests With Canonical Structures and Calibration
Apaydin, Gokhan; Ozgun, Ozlem; Kuzuoğlu, Mustafa; Sevgi, Levent (Institute of Electrical and Electronics Engineers (IEEE), 2011-08-01)
A novel two-way finite-element parabolic equation (PE) (2W-FEMPE) propagation model which handles both forward and backward scattering effects of the groundwave propagation above the Earth's surface over irregular terrain paths through inhomogeneous atmosphere is introduced. A Matlab-based propagation tool for 2W-FEMPE is developed and tested against mathematical exact and asymptotic solutions as well as the recently introduced two-way split-step PE model through a canonical validation, verification, and ca...
Automatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs
Turker, M; Cetinkaya, B (Informa UK Limited, 2005-02-20)
This study presents detection of the collapsed buildings caused by, earthquake,, using digital elevation models (DEMs) created from pre- and post -earthquake stereo aerial photographs. It is based on the idea that changes in the height, of collapsed buildings can be detected. The study was conducted using aerial: photographs taken before (1994) and after (1999) the lzmit earthquake in. Turkey. DEMs were created automatically from both pre- and post-earthquake. aerial photographs at 5m spatial resolution. Th...
A Novel Method to Detect Shadows on Multispectral Images
Sevim, Hazan Daglayan; Çetin, Yasemin; Baskurt, Didem Ozisik (2016-09-28)
Shadowing occurs when the direct light coming from a light source is obstructed by high human made structures, mountains or clouds. Since shadow regions are illuminated only by scattered light, true spectral properties of the objects are not observed in such regions. Therefore, many object classification and change detection problems utilize shadow detection as a preprocessing step. Besides, shadows are useful for obtaining 3D information of the objects such as estimating the height of buildings. With perva...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
K. Kalkan and M. D. Maktav, “A Cloud Removal Algorithm to Generate Cloud and Cloud Shadow Free Images Using Information Cloning,”
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
, pp. 1255–1264, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65151.