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

Remote Sensing of Environment, February 2020 [Impact Factor 9.0]

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 9.0]

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

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 7.3]

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

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.

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 7.3]

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.