A method to enhance the deep learning in an aerial image

Kuang Pen Chou, Dong Lin Li, Mukesh Prasad, Chin-Teng Lin, Wen-Chieh Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a kind of pre-processing method which can be applied to the depth learning method for the characteristics of aerial image. This method combines the color and spatial information to do the quick background filtering. In addition to increase execution speed, but also to reduce the rate of false positives.

Original languageEnglish
Title of host publication2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages724-728
Number of pages5
ISBN (Electronic)9781538621592
DOIs
StatePublished - 19 Jan 2018
Event25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Xiamen, China
Duration: 6 Nov 20179 Nov 2017

Publication series

Name2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
Volume2018-January

Conference

Conference25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017
CountryChina
CityXiamen
Period6/11/179/11/17

Keywords

  • Aerial Image
  • Background filter
  • Deep learning
  • Drones

Fingerprint Dive into the research topics of 'A method to enhance the deep learning in an aerial image'. Together they form a unique fingerprint.

Cite this