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Image Semantic Segmentation Based on Convolutional Neural Networks for Monitoring Agricultural Vegetation

  • Valentin GanchenkoEmail author
  • Alexander Doudkin
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1055)

Abstract

This paper considers problem of recognition agricultural vegetation state from aerial photographs of various spatial resolutions. Semantic segmentation based on convolutional neural networks is used as a basis for recognition. Two neural networks with SegNet and U-Net architectures are presented and investigated for this aim.

Keywords

Convolutional neural network Semantic segmentation Aerial photograph Agricultural vegetation 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.United Institute of Informatics ProblemsMinskBelarus

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