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Natural numerical networks for Natura 2000 habitats classification by satellite images
- Source :
- Applied Mathematical Modelling. 116:209-235
- Publication Year :
- 2023
- Publisher :
- Elsevier BV, 2023.
-
Abstract
- Natural numerical networks are introduced as a new classification algorithm based on the numerical solution of nonlinear partial differential equations of forward-backward diffusion type on complete graphs. The proposed natural numerical network is applied to open important environmental and nature conservation task, the automated identification of protected habitats by using satellite images. In the natural numerical network, the forward diffusion causes the movement of points in a feature space toward each other. The opposite effect, keeping the points away from each other, is caused by backward diffusion. This yields the desired classification. The natural numerical network contains a few parameters that are optimized in the learning phase of the method. After learning parameters and optimizing the topology of the network graph, classification necessary for habitat identification is performed. A relevancy map for each habitat is introduced as a tool for validating the classification and finding new Natura 2000 habitat appearances.
- Subjects :
- FOS: Computer and information sciences
Computer Science - Machine Learning
Computer Science - Artificial Intelligence
Computer Vision and Pattern Recognition (cs.CV)
Applied Mathematics
Computer Science - Computer Vision and Pattern Recognition
Numerical Analysis (math.NA)
Machine Learning (cs.LG)
Computer Science - Computers and Society
Artificial Intelligence (cs.AI)
Modeling and Simulation
Computers and Society (cs.CY)
FOS: Mathematics
Mathematics - Numerical Analysis
Subjects
Details
- ISSN :
- 0307904X
- Volume :
- 116
- Database :
- OpenAIRE
- Journal :
- Applied Mathematical Modelling
- Accession number :
- edsair.doi.dedup.....c1b9064e3a692c1db250589cc3941f84