Cover Image

Increasing the potential of Razaksat images for map-updating in the Tropics

The high resolution remote sensing satellite Razaksat is a unique satellite system since it operates in a near-equatorial orbit with a low inclination angle of 9. In a first study scientists have found the images suitable for feature extraction in an urban context to update the road network at a sca...

Full description

Saved in:
Bibliographic Details
Main Authors: Pohl, Christine, Hashim, Mazlan
Format: Article
Language:English
Published: Institute of Physics Publishing 2014
Subjects:
QK Botany
Online Access:http://eprints.utm.my/id/eprint/53137/1/ChristinePohl2014_IncreasingthepotentialofRazaksat.pdf
http://eprints.utm.my/id/eprint/53137/
http://dx.doi.org/10.1088/1755-1315/18/1/012029
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.53137
record_format eprints
spelling my.utm.531372018-07-19T07:25:14Z http://eprints.utm.my/id/eprint/53137/ Increasing the potential of Razaksat images for map-updating in the Tropics Pohl, Christine Hashim, Mazlan QK Botany The high resolution remote sensing satellite Razaksat is a unique satellite system since it operates in a near-equatorial orbit with a low inclination angle of 9. In a first study scientists have found the images suitable for feature extraction in an urban context to update the road network at a scale of 1:25,000. In a preceding project for land cover mapping the research team used the five available bands of Razaksat imagery. This paper describes a continuation of the former study in which techniques are used to fuse the high resolution panchromatic band with the lower resolution multispectral bands. The study investigates the impact of pansharpening on the spatial and spectral content of the data. It compares various image fusion techniques and their impact on land use classification results. The image fusion techniques investigated are Brovey Transform, High Pass Filtering, Principal Component Analysis, Wavelet Approach and Ehlers Fusion. The images are classified using a maximum likelihood classifier. The results show that the use of an appropriate image fusion technique with adequately tuned parameters can improve quality of the resulting thematic maps. Institute of Physics Publishing 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53137/1/ChristinePohl2014_IncreasingthepotentialofRazaksat.pdf Pohl, Christine and Hashim, Mazlan (2014) Increasing the potential of Razaksat images for map-updating in the Tropics. 8th International Symposium of the Digital Earth (ISDE8), 18 (1). ISSN 1755-1315 http://dx.doi.org/10.1088/1755-1315/18/1/012029 DOI: 10.1088/1755-1315/18/1/012029
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QK Botany
spellingShingle QK Botany
Pohl, Christine
Hashim, Mazlan
Increasing the potential of Razaksat images for map-updating in the Tropics
description The high resolution remote sensing satellite Razaksat is a unique satellite system since it operates in a near-equatorial orbit with a low inclination angle of 9. In a first study scientists have found the images suitable for feature extraction in an urban context to update the road network at a scale of 1:25,000. In a preceding project for land cover mapping the research team used the five available bands of Razaksat imagery. This paper describes a continuation of the former study in which techniques are used to fuse the high resolution panchromatic band with the lower resolution multispectral bands. The study investigates the impact of pansharpening on the spatial and spectral content of the data. It compares various image fusion techniques and their impact on land use classification results. The image fusion techniques investigated are Brovey Transform, High Pass Filtering, Principal Component Analysis, Wavelet Approach and Ehlers Fusion. The images are classified using a maximum likelihood classifier. The results show that the use of an appropriate image fusion technique with adequately tuned parameters can improve quality of the resulting thematic maps.
format Article
author Pohl, Christine
Hashim, Mazlan
author_facet Pohl, Christine
Hashim, Mazlan
author_sort Pohl, Christine
title Increasing the potential of Razaksat images for map-updating in the Tropics
title_short Increasing the potential of Razaksat images for map-updating in the Tropics
title_full Increasing the potential of Razaksat images for map-updating in the Tropics
title_fullStr Increasing the potential of Razaksat images for map-updating in the Tropics
title_full_unstemmed Increasing the potential of Razaksat images for map-updating in the Tropics
title_sort increasing the potential of razaksat images for map-updating in the tropics
publisher Institute of Physics Publishing
publishDate 2014
url http://eprints.utm.my/id/eprint/53137/1/ChristinePohl2014_IncreasingthepotentialofRazaksat.pdf
http://eprints.utm.my/id/eprint/53137/
http://dx.doi.org/10.1088/1755-1315/18/1/012029
_version_ 1643653303875141632
score 13.211869

Similar Items