Aneece, I.[Itiya]
* 2015: Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data
* 2018: Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine
* 2021: Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud
* 2023: Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings
Anees, A.[Asim]
* 2008: Real Time Object Tracking in a Video Sequence Using a Fixed Point DSP
* 2016: robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data, A
* 2018: Discriminative binary feature learning and quantization in biometric key generation
* 2019: Robust Rule-Based Ensemble Framework Using Mean-Shift Segmentation for Hyperspectral Image Classification, A
Includes: Anees, A.[Asim] Anees, A.[Amir]
Anees, M.M.[Mangalasseril Mohammad]
* 2020: Assessment of Urban Dynamics to Understand Spatiotemporal Differentiation at Various Scales Using Remote Sensing and Geospatial Tools