Pattathal V. Arun

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 23

Top Topics

Convolutional Network

Pixel Classification

Significant Features

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Dong Zhao, Xuguang Zhu, Zhe Zhang, Pattathal V. Arun, Jialu Cao, Qing Wang, Huixin Zhou, Hao Jiang, Jianling Hu, Kun Qian
Hyperspectral video target tracking based on pixel-wise spectral matching reduction and deep spectral cascading texture features. Signal Process. 209 (2023)
Xuguang Zhu, Haorui Zhang, Bin Hu, Kunpeng Huang, Pattathal V. Arun, Xiuping Jia, Dong Zhao, Qing Wang, Huixin Zhou, Shuowen Yang
DSP-Net: A Dynamic Spectral-Spatial Joint Perception Network for Hyperspectral Target Tracking. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Jiajia Zhang, Huan Li, Dong Zhao, Pattathal V. Arun, Wei Tan, Pei Xiang, Huixin Zhou, Jianling Hu, Juan Du
An ISAR and Visible Image Fusion Algorithm Based on Adaptive Guided Multi-Layer Side Window Box Filter Decomposition. Remote. Sens. 15 (11) (2023)
Zhe Zhang, Bin Hu, Mengyuan Wang, Pattathal V. Arun, Dong Zhao, Xuguang Zhu, Jianling Hu, Huan Li, Huixin Zhou, Kun Qian
Hyperspectral Video Tracker Based on Spectral Deviation Reduction and a Double Siamese Network. Remote. Sens. 15 (6) (2023)
Zhe Zhang, Xuguang Zhu, Dong Zhao, Pattathal V. Arun, Huixin Zhou, Kun Qian, Jianling Hu
Hyperspectral Video Target Tracking Based on Deep Features with Spectral Matching Reduction and Adaptive Scale 3D Hog Features. Remote. Sens. 14 (23) (2022)
Pattathal V. Arun, Arnon Karnieli
Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detection. Neural Comput. Appl. 34 (13) (2022)
Pattathal V. Arun, Arnon Karnieli
Augmentation of Vegetation Index Curves Considering the Crop-Specific Phenological Characteristics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Pattathal V. Arun, Arnon Karnieli
Deep feature learning and latent space encoding for crop phenology analysis. Expert Syst. Appl. 187 (2022)
Dong Zhao, Jialu Cao, Xuguang Zhu, Zhe Zhang, Pattathal V. Arun, Yecai Guo, Kun Qian, Like Zhang, Huixin Zhou, Jianling Hu
Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter. Remote. Sens. 14 (24) (2022)
Maitreya Mohan Sahoo, Pattathal V. Arun, Alok Porwal
Support Vector Machines for Unmixing Geological Mixtures. WHISPERS (2021)
Pattathal V. Arun, Arnon Karnieli
Deep Learning-Based Phenological Event Modeling for Classification of Crops. Remote. Sens. 13 (13) (2021)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot
CNN based spectral super-resolution of remote sensing images. Signal Process. 169 (2020)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot
CNN-Based Super-Resolution of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58 (9) (2020)
Pattathal V. Arun, Ittai Herrmann, Krishna M. Budhiraju, Arnon Karnieli
Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images. Pattern Recognit. 88 (2019)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (6) (2019)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images. Comput. Vis. Image Underst. 188 (2019)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches. IEEE Geosci. Remote. Sens. Lett. 15 (2) (2018)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales. IGARSS (2018)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
Analysis of capsulenets towards hyperspectral classification. WHISPERS (2018)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
CNN based sub-pixel mapping for hyperspectral images. Neurocomputing 311 (2018)
Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal
Integration of contextual knowledge in unsupervised sub-pixel classification. WHISPERS (2016)
Pattathal V. Arun, Krishna Mohan Buddhiraju
A deep learning based spatial dependency modelling approach towards super-resolution. IGARSS (2016)
Pattathal V. Arun, Krishna Mohan Buddhiraju
Classification and clustering perspective towards spectral unmxing. IGARSS (2016)