Forward-Forward Algorithm for Hyperspectral Image Classification

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2024 -  premier international computer vision conference

Paheding, S., and Reyes, A.

MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Jan. 2024 - premier international computer vision conference

Paheding, S., Reyes, A., Rajaneesh, A., Sajinkumar, K. S., & Oommen, T. 

Highligh:  1) We introduced a new, first-of-its-kind, multi-modal dataset for Martian landslide segmentation, 2) 2. We proposed an end-to-end deep learning pipeline for Martian landslide segmentation from multi-modal imagery data directly. 

Advancing Horizons in Remote Sensing: A Comprehensive Survey of Deep Learning Models and Applications in Image Classification and Beyond

Neural Computing and Applications, July 2024 

Paheding, S., Saleem, A., Rawashdeh, N, Siddiqui, MFH., Essa, A., and A. Angulo, 

Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset

IEEE Access, 2023

Saleem, A., Paheding, S., Rawashdeh, N., Awad, A., & Kaur, N.

C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2023 -  premier international computer vision conference

Paheding, S., and Reyes, A.

Fractal, Recurrent and Dense U-Net Architectures with EfficientNet Encoder for Medical Image Segmentation

Journal of Medical Imaging, 2022

Siddique, N., Paheding, S., Reyes Angulo, A. A., Alom, M. Z., & Devabhaktuni, V. K. 

GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2022 -  premier international computer vision conference

Paheding, S., Reyes, A. A., Kasaragod, A., & Oommen, T.

Data-driven artificial intelligence for calibration of hyperspectral big data

EEE Transactions on Geoscience and Remote Sensing, 2021

Sagan, V., Maimaitijiang, M., S. Paheding, Bhadra, S., Gosselin, N., Burnette, et al.

Soybean yield prediction from UAV using multimodal data fusion and deep learning

Remote Sensing of Environment,  February 2020  [Impact Factor 11.1]

Maimaitijiang, M., Sagan, V., Sidike, P., Hartling, S., Esposito, F. and Fritschi, F.B., 

dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery 

Remote Sensing of Environment,  February 2019   [Impact Factor 11.1]

Sidike, P., Sagan, V., Maimaitijiang, M., Maimaitiyiming, M., Shakoor, N., Burken, J., Mockler, T. and Fritschi, F.B.

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Sensors, 2019  [PDF]

Hartling, S., Sagan, V., Sidike, P., Maimaitijiang, M. and Carron, J.

Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis

ISPRS journal of photogrammetry and remote sensing, 2018  [Impact Factor 10.6]

Sidike, P., Asari, V. K., & Sagan, V.

Adaptive trigonometric transformation function with image contrast and color enhancement: Application to unmanned aerial system imagery

IEEE Geoscience and Remote Sensing Letters, 2018

Sidike, P., Sagan, V., Qumsiyeh, M., Maimaitijiang, M., Essa, A., & Asari, V.

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

ISPRS journal of photogrammetry and remote sensing, 2017   [Impact Factor 10,6]

Maimaitijiang, M., Ghulam, A., Sidike, P., Hartling, S., Maimaitiyiming, M., Peterson, K., ... & Burken, J.

State preserving extreme learning machine: A monotonically increasing learning approach

Neural Processing Letters, 2017

Alom, M. Z., Sidike, P., Taha, T. M., & Asari, V. K. 

A fast single-image super-resolution via directional edge-guided regularized extreme learning regression

Signal, image and video processing, 2017

Sidike, P., Krieger, E., Alom, M. Z., Asari, V. K., & Taha, T.

Multiclass object detection with single query in hyperspectral imagery using class-associative spectral fringe-adjusted joint transform correlation

IEEE Transactions on Geoscience and Remote Sensing, 2015   [Impact Factor : 5.8]

Sidike, P., Asari, V. K., & Alam, M. S.