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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16367
Title: A novel approach for optimal weight factor of DT-CWT coefficients for land cover classification using MODIS data
Authors: Garg A.
Vardhan Naidu S.
Gupta S.
Singh, Dharmendra
Brodu N.
Yahia H.
Published in: Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS)
Abstract: Presently, there is a need to explore the possibility to maximize the use of MODIS (Moderate Resolution Imaging Spectroradiometer) data as it has very good spectral (36 bands) and temporal resolution whereas its spatial resolution is moderate i.e. 250m, 500m, and 1km. Because of its moderate spatial resolution, its application for land cover classification is limited. Therefore, in this paper, an attempt has been made to enhance its spatial resolution and utilize the information contained in the different bands together to achieve good land cover classification accuracy, so that, in future, MODIS data can be used more effectively. For resolution enhancement, modified dual tree complex wavelet transform (DT-CWT) has been employed, where DT-CWT has been modified by critically analyzing the effect of weight factor of the DT-CWT coefficients on land cover classification. For this purpose, image statistics parameter like Mean of the image has also been considered. The proposed technique has been applied on the six bands of MODIS data which have spatial resolution of 500m. It is observed that weight factor of the high-frequency sub-bands is quite sensitive for computation of classification accuracy. © 2016 IEEE.
Citation: Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS), (2016), 4528- 4531
URI: https://doi.org/10.1109/IGARSS.2016.7730181
http://repository.iitr.ac.in/handle/123456789/16367
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: DT-CWT
MODIS
Resolution enhancement
wavelets
weights
ISBN: 9.78E+12
Author Scopus IDs: 57211901151
57192695618
57209786114
36912015700
8844176800
6701839777
Author Affiliations: Garg, A., Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee247667, India, Indian Institute of Technology Roorkee247667, India
Vardhan Naidu, S., Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee247667, India, Indian Institute of Technology Roorkee247667, India
Gupta, S., Department of Computer Science Engineering, Indian Institute of Technology, Roorkee, 247667, India, Indian Institute of Technology Roorkee247667, India
Singh, D., Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee247667, India, Indian Institute of Technology Roorkee247667, India
Brodu, N., INRIA, Institut National de Recherche en Informatique et en Automatique, Bordeaux, France
Yahia, H., INRIA, Institut National de Recherche en Informatique et en Automatique, Bordeaux, France
Appears in Collections:Conference Publications [ECE]

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