Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data

Debvrat Varshney, Prasun Kumar Gupta, C. Persello, Bhaskar Ramachandra Nikam

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

Abstract

Cloud cover creates obstruction in Earth Observation studies. The obstruction is harder to distinguish from features having similar reflectance on the ground, such as snow. To distinguish clouds from snow in a VNIR image, we use an additional SWIR band. The images were fed into a deep Fully Convolutional Network that can fuse the multiresolution SWIR and VNIR bands together, in order to produce pixelwise classification. The accuracy obtained by the model on the test image was 93.35%. We compare the performance of this model with a more commonly used technique, Random Forests. To analyze the effect of SWIR, we use another deep learning model, trained only on the VNIR image, and compare the accuracies obtained.

Original languageEnglish
Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Place of PublicationYokohama
PublisherIEEE
Pages9851-9854
Number of pages4
ISBN (Electronic)9781538691540
DOIs
Publication statusPublished - Jul 2019
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Abbreviated titleIGARSS 2019
CountryJapan
CityYokohama
Period28/07/192/08/19

Keywords

  • Cloud detection
  • Data fusion
  • Deep convolutional networks
  • LISS-4
  • Snow
  • SWIR

Fingerprint Dive into the research topics of 'Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data'. Together they form a unique fingerprint.

  • Cite this

    Varshney, D., Gupta, P. K., Persello, C., & Nikam, B. R. (2019). Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 9851-9854). [8898628] (International Geoscience and Remote Sensing Symposium (IGARSS)). Yokohama: IEEE. https://doi.org/10.1109/IGARSS.2019.8898628