test
server time: root: http://itiis.org
current_path: /journals/tiis/digital-library/22175
current_url: http://itiis.org/journals/tiis/digital-library/22175
Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification


Abstract

The recent interest in artificial intelligence and machine learning has partly contributed to an interest in the use of such approaches for hyperspectral remote sensing (HRS) imagery classification, as evidenced by the increasing number of deep framework with deep convolutional neural networks (CNN) structures proposed in the literature. In these approaches, the assumption of obtaining high quality deep features by using CNN is not always easy and efficient because of the complex data distribution and the limited sample size. In this paper, conventional handcrafted learning-based multi features based on expert knowledge are introduced as the input of a special designed CNN to improve the pixel description and classification performance of HRS imagery. The introduction of these handcrafted features can reduce the complexity of the original HRS data and reduce the sample requirements by eliminating redundant information and improving the starting point of deep feature training. It also provides some concise and effective features that are not readily available from direct training with CNN. Evaluations using three public HRS datasets demonstrate the utility of our proposed method in HRS classification.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
C. Wu, M. Wang, L. Gao, W. Song, T. Tian and K. R. Choo, "Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification," KSII Transactions on Internet and Information Systems, vol. 13, no. 8, pp. 3917-3941, 2019. DOI: 10.3837/tiis.2019.08.006.

[ACM Style]
Chunming Wu, Meng Wang, Lang Gao, Weijing Song, Tian Tian, and Kim-Kwang Raymond Choo. 2019. Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification. KSII Transactions on Internet and Information Systems, 13, 8, (2019), 3917-3941. DOI: 10.3837/tiis.2019.08.006.