NDLI: Super-resolution mapping of hyperspectral satellite images using hybrid genetic algorithm

Content Provider	IET Digital Library
Author	Dhason, Heltin Genitha Cyril Amala Muthaia, Indhumathi Sakthivel, Shanmuga Priyaa Shanmugam, Sanjeevi
Abstract	To assess the rate of sedimentation and the consequent reduction in the storage capacity, periodical capacity surveys of multi-purpose reservoirs is essential. Hydrographic surveys and acoustic surveys are time-consuming and expensive. The limited availability and high cost of the high-resolution images require a different methodology to accurately estimate the water-spread area of the reservoir. In this study, 30 m resolution hyperspectral image (hyperion) and multi-spectral image (The Earth Observing One (EO-1) advanced land imager) are used to estimate the water-spread area of the Peechi Reservoir, South India. A hybrid genetic algorithm (GA)-based super-resolution mapping approach is developed and demonstrated, which incorporates the multi-objective GA and Hopfield neural network (HNN). The hybrid GA-based super-resolution mapping approach gives a global optimum solution in half of the original computation time. Furthermore, mapping approach gives an error of 6.38% for the multi-spectral image and a lesser error of 3.86% for the hyperspectral image, while the HNN-based super-resolution mapping approach gives an error of 8.23% for the multi-spectral image and 5.71% for the hyperspectral image. Thus, in this work, an efficient technique based on hybrid GA is presented, which is a useful tool for accurate mapping of water bodies at the sub-pixel scale using hyperspectral imagery.
Starting Page	1281
Ending Page	1290
Page Count	10
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 7, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5108
Journal	IET Image Processing
Publisher Date	2019-10-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Surveys Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics EO-1 Advanced Land Imager Genetic Algorithm Geography And Cartography Computing Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing High-resolution Image HNN-based Super-resolution Mapping Approach Hopfield Neural Network Hybrid GA-based Super-resolution Mapping Approach Hybrid Genetic Algorithm-based Super-resolution Mapping Approach Hydrographic Surveys Hydrological Technique Hyperspectral Image Hyperspectral Satellite Image Image Resolution Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Multipurpose Reservoirs Neural Computing Technique Oceanographic And Hydrological Technique And Equipment Oceanographic Technique Optical, Image And Video Signal Processing Optimisation Technique Peechi Reservoir Remote Sensing Reservoirs Resolution Hyperspectral Image Terrain Mapping Water-spread Area
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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