Ayhan, B.
* 2006: Novel Approach for Spectral Unmixing, Classification, and Concentration Estimation of Chemical and Biological Agents, A
* 2015: Low-rank tensor decomposition based anomaly detection for hyperspectral imagery
* 2016: Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images, A
* 2017: On the use of radiance domain for burn scar detection under varying atmospheric illumination conditions and viewing geometry
* 2018: Demosaicing enhancement using pixel-level fusion
* 2018: Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition
* 2019: Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs)
* 2020: Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification, An
* 2020: Deep Learning for Land Cover Classification Using Only a Few Bands
* 2020: Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data
* 2020: Tree, Shrub, and Grass Classification Using Only RGB Images
Includes: Ayhan, B. Ayhan, B.[Bulent]
11 for Ayhan, B.
Ayhan, S.
* 2017: Millimeter-Wave Radar Sensor for Snow Height Measurements