Avaliação de classificação digital em imagens de vídeo multiespectral utilizando matriz confusão
Keywords:
sensoriamento remoto, levantamento de talhões florestais, imagens digitaisAbstract
Neste trabalho, o objetivo foi realizar classifica¸c˜oes digitais e avaliar os resultadosutilizando o m´etodo da matriz confus˜ao ou matriz erro em imagem de v´ıdeo multiespectral. A
classifica¸c˜ao digital utilizando o m´etodo de m´ınima distˆancia resultou numa precis˜ao global
de 81,15 %, enquanto que o m´etodo do paralelep´ıpedo, uma precis˜ao global de 24,30 %.
Considerando os ´ındices alcan¸cados com a classifica¸c˜ao do m´etodo da m´ınima distˆancia, a
utiliza¸c˜ao de cˆamaras de v´ıdeo como sensor n˜ao convencional ´e vi´avel por apresentar baixo
custo, bem como a aquisi¸c˜ao e an´alise das imagens geradas em tempo real.
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