dc.contributor.author |
Demir, H. Seçkin
|
|
dc.contributor.author |
Akagündüz, Erdem
|
|
dc.date.accessioned |
2021-06-11T10:36:07Z |
|
dc.date.available |
2021-06-11T10:36:07Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Demir, H. Seçkin; Akagündüz, Erdem (2020). "Filter design for small target detection on infrared imagery using normalized-cross-correlation layer", Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 28, no. 1, pp. 302-317. |
tr_TR |
dc.identifier.issn |
1300-0632 |
|
dc.identifier.issn |
1303-6203 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/4781 |
|
dc.description.abstract |
In this paper, we introduce a machine learning approach to the problem of infrared small target detection filter design. For this purpose, similar to a convolutional layer of a neural network, the normalized-cross-correlational (NCC) layer, which we utilize for designing a target detection/recognition filter bank, is proposed. By employing the NCC layer in a neural network structure, we introduce a framework, in which supervised training is used to calculate the optimal filter shape and the optimum number of filters required for a specific target detection/recognition task on infrared images. We also propose the mean-absolute-deviation NCC (MAD-NCC) layer, an efficient implementation of the proposed NCC layer, designed especially for FPGA systems, in which square root operations are avoided for real-time computation. As a case study we work on dim-target detection on midwave infrared imagery and obtain the filters that can discriminate a dim target from various types of background clutter, specific to our operational concept. |
tr_TR |
dc.language.iso |
eng |
tr_TR |
dc.relation.isversionof |
10.3906/elk-1807-287 |
tr_TR |
dc.rights |
info:eu-repo/semantics/closedAccess |
tr_TR |
dc.subject |
Small Target Detection |
tr_TR |
dc.subject |
Filter Design |
tr_TR |
dc.subject |
Normalized-Cross-Correlation |
tr_TR |
dc.subject |
Convolutional Neural Networks |
tr_TR |
dc.title |
Filter design for small target detection on infrared imagery using normalized-cross-correlation layer |
tr_TR |
dc.type |
article |
tr_TR |
dc.relation.journal |
Turkish Journal of Electrical Engineering & Computer Sciences |
tr_TR |
dc.contributor.authorID |
233834 |
tr_TR |
dc.identifier.volume |
28 |
tr_TR |
dc.identifier.issue |
1 |
tr_TR |
dc.identifier.startpage |
302 |
tr_TR |
dc.identifier.endpage |
317 |
tr_TR |
dc.contributor.department |
Çankaya Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü |
tr_TR |