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Classificação de imagem de tipos de nuvem de camada única

Classificação de imagem de tipos de nuvem de camada única

          
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About the Book

É apresentado um sistema de classificação automática, que discrimina os diferentes tipos de nuvens de camada única usando Análise de Componentes Principais (PCA) com maior precisão e fornece velocidade de processamento rápida em comparação com outras técnicas. O sistema é primeiro treinado por imagens em nuvem. Na fase de treinamento, o sistema lê os principais recursos das diferentes imagens de nuvem para produzir um espaço de imagem. Na fase de teste, uma nova imagem de nuvem pode ser classificada comparando-a com o espaço de imagem especificado usando o algoritmo PCA. Os aplicativos de previsão do tempo usam várias técnicas de reconhecimento de padrões para analisar as informações das nuvens e outros parâmetros meteorológicos. Redes Neurais é uma metodologia frequentemente usada para processamento de imagens. Algumas metodologias estatísticas como FDA, RBFNN e SVM também estão sendo usadas para análise de imagens. Essas metodologias requerem mais tempo de treinamento e têm uma precisão limitada de cerca de 70%. Este nível de precisão muitas vezes degrada a classificação das nuvens e, portanto, a precisão da chuva e outras previsões meteorológicas são reduzidas. O algoritmo PCA fornece uma classificação de nuvem mais precisa que produz uma previsão de chuva melhor e concisa.


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Product Details
  • ISBN-13: 9786203323351
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: Edicoes Nosso Conhecimento
  • Height: 229 mm
  • No of Pages: 88
  • Spine Width: 5 mm
  • Width: 152 mm
  • ISBN-10: 6203323357
  • Publisher Date: 16 Mar 2021
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Weight: 141 gr


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