Arş. Gör. Uğur ERGÜL

Yayın Ağı

Makaleler 4

1. MCK-ELM: multiple composite kernel extreme learning machine for hyperspectral images

Ergul U., Bilgin G.

NEURAL COMPUTING & APPLICATIONS , cilt.32, ss.6809-6819, 2020 (SCI-Expanded, Scopus)

2. HCKBoost: Hybridized composite kernel boosting with extreme learning machines for hyperspectral image classification

Ergul U., Bilgin G.

NEUROCOMPUTING , cilt.334, ss.100-113, 2019 (SCI-Expanded, Scopus)

3. Multiple-instance ensemble learning for hyperspectral images

Ergul U., Bilgin G.

JOURNAL OF APPLIED REMOTE SENSING , cilt.11, 2017 (SCI-Expanded, Scopus)

4. Integration of spectral and spatial information via local covariance matrices for segmentation and classification of hyperspectral images

Ergul U., Bilgin G.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.24, sa.6, ss.4824-4838, 2016 (SCI-Expanded, Scopus, TRDizin)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 7

1. Classification of hyperspectral images with multiple kernel extreme learning machine Hiperspektral Görüntülerin Çoklu Çekirdek ąsiri Öǧrenme Makinesi ile Siniflandirilmasi

Ergul U., BİLGİN G.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Türkiye, 2 - 05 Mayıs 2018, ss.1-4, (Tam Metin Bildiri)

2. Multiscale local covariance based feature extraction for segmantation of hyperspectral images

Ergul U., BİLGİN G.

5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013, Florida, Amerika Birleşik Devletleri, 26 - 28 Haziran 2013, (Tam Metin Bildiri)

3. Hyperspectral image classification with hybrid kernel extreme learning machine Hiperspektral Görüntülerin Melez Çekirdek Aşiri Öǧrenme Makinesi ile Siniflanmasi

Ergul U., BİLGİN G.

25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15 - 18 Mayıs 2017, (Tam Metin Bildiri) Sürdürülebilir Kalkınma