Application of Numenta® Hierarchical Temporal Memory for land-use classification
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...
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| Format: | Article |
| Language: | English |
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Academy of Science of South Africa
2009-09-01
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| Series: | South African Journal of Science |
| Online Access: | https://sajs.co.za/article/view/10248 |
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| _version_ | 1849714759786561536 |
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| author | A.J. Perea J.E. Meroño M.J. Aguilera |
| author_facet | A.J. Perea J.E. Meroño M.J. Aguilera |
| author_sort | A.J. Perea |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-c04ad7e021f943cc83f172bc68f1da14 |
| institution | DOAJ |
| issn | 1996-7489 |
| language | English |
| publishDate | 2009-09-01 |
| publisher | Academy of Science of South Africa |
| record_format | Article |
| series | South African Journal of Science |
| spelling | doaj-art-c04ad7e021f943cc83f172bc68f1da142025-08-20T03:13:36ZengAcademy of Science of South AfricaSouth African Journal of Science1996-74892009-09-011059/108429Application of Numenta® Hierarchical Temporal Memory for land-use classificationA.J. PereaJ.E. MeroñoM.J. AguileraThe 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.https://sajs.co.za/article/view/10248 |
| spellingShingle | A.J. Perea J.E. Meroño M.J. Aguilera Application of Numenta® Hierarchical Temporal Memory for land-use classification South African Journal of Science |
| title | Application of Numenta® Hierarchical Temporal Memory for land-use classification |
| title_full | Application of Numenta® Hierarchical Temporal Memory for land-use classification |
| title_fullStr | Application of Numenta® Hierarchical Temporal Memory for land-use classification |
| title_full_unstemmed | Application of Numenta® Hierarchical Temporal Memory for land-use classification |
| title_short | Application of Numenta® Hierarchical Temporal Memory for land-use classification |
| title_sort | application of numenta r hierarchical temporal memory for land use classification |
| url | https://sajs.co.za/article/view/10248 |
| work_keys_str_mv | AT ajperea applicationofnumentahierarchicaltemporalmemoryforlanduseclassification AT jemerono applicationofnumentahierarchicaltemporalmemoryforlanduseclassification AT mjaguilera applicationofnumentahierarchicaltemporalmemoryforlanduseclassification |