activity
20192022
most citedSpectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

260 citations · 477 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

eess.SY2019★ 37 cited

Hybrid data-driven physics model-based framework for enhance cyber-physical smart grid security

Cody Ruben, Surya Dhulipala, Keerthiraj Nagaraj +5

This paper presents a hybrid data-driven physics model-based framework for real time monitoring in smart grids. As the power grid transitions to the use of smart grid technology, i…

cs.CV2019★ 1 cited

Peanut Maturity Classification using Hyperspectral Imagery

Sheng Zou, Yu-Chien Tseng, Alina Zare +3

Seed maturity in peanut (Arachis hypogaea L.) determines economic return to a producer because of its impact on seed weight (yield), and critically influences seed vigor and other…

eess.IV2019★ 1 cited

Multi-Target Multiple Instance Learning for Hyperspectral Target Detection

Susan Meerdink, James Bocinsky, Alina Zare +4

In remote sensing, it is often challenging to acquire or collect a large dataset that is accurately labeled. This difficulty is usually due to several issues, including but not lim…

cs.CV2019★ 55 cited

Overcoming Small Minirhizotron Datasets Using Transfer Learning

Weihuang Xu, Guohao Yu, Alina Zare +6

Minirhizotron technology is widely used for studying the development of roots. Such systems collect visible-wavelength color imagery of plant roots in-situ by scanning an imaging s…

cs.CV2019★ 39 cited

Root Identification in Minirhizotron Imagery with Multiple Instance Learning

Guohao Yu, Alina Zare, Hudanyun Sheng +4

In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are propo…