3D Gabor Based Hyperspectral Anomaly Detection

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

IMANI MARYAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: AUT Journal of Modeling and Simulation Year:2018 | Volume:50 | Issue:2 Page(s): 189-194

Download Full-Text

View:

217

Download:

Cites:

Information Journal Paper

Title

3D Gabor Based Hyperspectral Anomaly Detection

Author(s)

IMANI MARYAM | Issue Writer Certificate

Keywords

Anomaly detection

3D Gabor filter

RX detector

Hyperspectral image

Abstract

Hyperspectral Anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for Anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the worthful spatial characteristics. Moreover, some works that include the spatial features in the Anomaly detection process extract features from each hyperspectral band that is a two dimensional image while the original structure of hyperspectral cube contains three dimensions. Ignoring the nature of Hyperspectral image leads to lose the contained spectral-spatial correlations in the hyperspectral cube. To deal with this difficulty, in this work, the fused spectral and spatial features obtained by applying 3D Gabor filters are proposed for hyperspectral Anomaly detection. Exploiting the 3D structure of hyperspectral cube by capturing multiple scales, orientations and its spectral-dependent characteristics provides an appropriate spectral-spatial feature space for anomalous targets detection. The extracted features are applied to the regularized RX detector to provide the detection map. The experiments show the superior performance of the proposed Gabor 3D based detector in terms of detection accuracy and computation time

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

IMANI, MARYAM. (2018). 3D Gabor Based Hyperspectral Anomaly Detection. AUT JOURNAL OF MODELING AND SIMULATION, 50(2), 189-194. SID. https://sid.ir/paper/352270/en

Vancouver: Copy

IMANI MARYAM. 3D Gabor Based Hyperspectral Anomaly Detection. AUT JOURNAL OF MODELING AND SIMULATION[Internet]. 2018;50(2):189-194. Available from: https://sid.ir/paper/352270/en

IEEE: Copy

MARYAM IMANI, “3D Gabor Based Hyperspectral Anomaly Detection,” AUT JOURNAL OF MODELING AND SIMULATION, vol. 50, no. 2, pp. 189–194, 2018, [Online]. Available: https://sid.ir/paper/352270/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops