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Construction of a Semiautomatic Contour of Areal Objects on Hyperspectral Satellite Images

  • Bin Lei,
  • Wei Wan,
  • Artiom Nedzved,
  • Alexei Belotserkovsky

摘要

Abstract

In this article, we formalize the problem of semiautomatic construction of the contour of area objects from satellite hyperspectral images and present a solution algorithm using PCA and Dijkstra’s algorithm. The contour is considered as the boundary of an object, which can be used for its segmentation and classification. The semiautomatic contour accepts reference points specified by the operator. The formalization of the algorithm is completed.