Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | International Geoscience and Remote Sensing Symposium (IGARSS) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5067-5070 |
| Volume | 2016-November |
| ISBN (Print) | 9781509033324 |
| Publication status | Published - 1 Nov 2016 |
| Externally published | Yes |
Publication series
| Name | |
|---|---|
| Volume | 2016-November |
Conference
| Title | 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 |
|---|---|
| Place | China |
| City | Beijing |
| Period | 10 - 15 July 2016 |
Link(s)
Abstract
Deep convolutional neural networks (CNNs) have brought in achievements in image classification and tar- get detection. In this paper, we propose a novel five-layer CNN for hyperspectral classification by encountering recent achievement in deep learning area, such as batch normaliza- tion, dropout, Parametric Rectified Linear Unit (PReLu) acti- vation function. By taking advantage of the specific charac- teristics of hyperspectral images, spatial context and spectral information are elegantly integrated into the framework. Ex- perimental results demonstrate that our proposed CNN out- performs the state-of-the-art methods.
Research Area(s)
- Convolutional Neural Networks, deep learning, hyperspectral classification
Citation Format(s)
Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification. / Mei, Shaohui; Ji, Jingyu; Bi, Qianqian et al.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2016-November Institute of Electrical and Electronics Engineers Inc., 2016. p. 5067-5070 7730321.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
