Application of Numenta® Hierarchical Temporal Memory for land-use classification
South African Journal of Science
| Field | Value | |
| Title | Application of Numenta® Hierarchical Temporal Memory for land-use classification | |
| Creator | Perea, A.J. Meroño, J.E. Aguilera, M.J. | |
| Description | The aim of this paper is to present the application of memoryprediction theory, implemented in the form of a Hierarchical Temporal Memory (HTM), for land-use classification. Numenta®HTM is a new computing technology that replicates the structure and function of the human neocortex. In this study, a photogram, received by a photogrammetric UltraCamD® sensor of Vexcel, and data on 1 513 plots in Manzanilla (Huelva, Spain) were used to validate the classification, achieving an overall classification accuracy of 90.4%. The HTMapproach appears to hold promise for land-use classification. | |
| Publisher | AOSIS | |
| Date | 2010-01-20 | |
| Identifier | 10.4102/sajs.v105i9/10.114 | |
| Source | South African Journal of Science; Vol 105, No 9/10 (2009); 370 1996-7489 0038-2353 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://journals.sajs.aosis.co.za/index.php/sajs/article/view/114/92
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