Dropband: a convolutional neural network with data augmentation for scene classification of VHR satellite images

Naisen Yang, Hong Tang, Hongquan Sun, Xin Yang

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

Abstract

Data augmentation is a common method that can prevent the overfitting of classification tasks in deep neural networks. This paper presents another kind of data augmentation method called DropBand that is useful for remote sensing image classification. Data augmentation is usually used along two dimensions of the image plane. This method executes this operation in the third dimension formed by all the spectral bands of an input image. With dropping a band of images out, the error rate of deep neural networks can be
reduced. This method can also be viewed as a peculiar version of deterministic Dropout. The normal Dropout does not work well when it is applied to input channels of neural networks. To release this issue, dropping a band of input by schedule is employed. Moreover, model synthesis plays a key role in this procedure. To exclude the influence of increasing parameters, extra comparison groups are set up. The final experimental result shows that deep neural networks indeed benefit from the method of DropBand. This method improves the state-of-the-art on the latest SAT-4 and SAT-6 benchmarks.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages4
ISBN (Print)978-90-365-4201-2
DOIs
Publication statusPublished - 14 Sep 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
CountryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

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