How to fully explore the low-rank property for data recovery of hyperspectral images
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › 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 | 3314-3317 |
| 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
The performance of hyperspectral classification is affected by within-class spectral variation since different materials may present similar spectral signatures. In this paper, we investigate how to fully use the low-rank property of hyperspectral images to alleviate spectra variation. Particulary, two effective strategies that explore the low-rank property in local spectral and spatial space are proposed. According to experimental results, we conclude that exploring the low-rank property in local spectral-spatial space can help to alleviate spectral variation and improve the performance of classification obviously for all tested data, while exploring the low-rank property in spatial space is more effective for images presenting large homogeneous areas.
Research Area(s)
- hyperspectral classification, Low-rank, Robust Principal Component Analysis (R-PCA), spectral variation
Citation Format(s)
How to fully explore the low-rank property for data recovery of hyperspectral images. / Mei, Shaohui; Bi, Qianqian; Ji, Jingyu et al.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2016-November Institute of Electrical and Electronics Engineers Inc., 2016. p. 3314-3317 7729857.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2016-November Institute of Electrical and Electronics Engineers Inc., 2016. p. 3314-3317 7729857.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
