2017 - Improving features used for land cover change detection by reducing the uncertainty in the feature extraction method.pdf (1.06 MB)
Improving features used for land cover change detection by reducing the uncertainty in the feature extraction method
conference contribution
posted on 2023-05-23, 13:11 authored by Brian SalmonBrian Salmon, Kleynhans, W, Jan OlivierJan Olivier, Schwegmann, CPThe well-being of the environment is one of the major factors that contributes to sustainability. Sustainable human settlements require local governance to plan, implement, develop, and manage human settlements expansions. This is important as the number anthropogenic activities is directly correlated to the increase in human population within a geographical region. Regional mapping of land cover conversion of natural vegetation to new human settlements is essential. In this paper we explore the effect which the length of a temporal sliding window has on the success of detecting land cover change. It is shown using a short Fourier transform as a feature extraction method provides meaningful robust input to a machine learning method. In theory, the performance is increased by improving the estimates on the features by increasing the length of the sliding window. Experiments were conducted in the Limpopo province of South Africa and were found that increasing the length of the sliding window beyond 12 months yield minor improves due to other seasonal and external factors.
History
Publication title
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing SymposiumPagination
1-4ISBN
9781509049516Department/School
School of EngineeringPublisher
IEEEPlace of publication
United StatesEvent title
2017 IEEE International Geoscience and Remote Sensing SymposiumEvent Venue
Texas, United StateDate of Event (Start Date)
2017-07-23Date of Event (End Date)
2017-07-28Rights statement
Copyright 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Repository Status
- Open