Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows

H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada - Remote Sensing, 2018 - mdpi.com
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

weednet: Dense semantic weed classification using multispectral images and mav for smart farming

I Sa, Z Chen, M Popović, R Khanna… - IEEE robotics and …, 2017 - ieeexplore.ieee.org
Selective weed treatment is a critical step in autonomous crop management as related to
crop health and yield. However, a key challenge is reliable and accurate weed detection to …

WeedMap: A large-scale semantic weed map** framework using aerial multispectral imaging and deep neural network for precision farming

I Sa, M Popović, R Khanna, Z Chen, P Lottes… - Remote Sensing, 2018 - mdpi.com
The ability to automatically monitor agricultural fields is an important capability in precision
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …

A spatio temporal spectral framework for plant stress phenoty**

R Khanna, L Schmid, A Walter, J Nieto, R Siegwart… - Plant methods, 2019 - Springer
Background Recent advances in high throughput phenoty** have made it possible to
collect large datasets following plant growth and development over time, and those in …

Early Detection of Coffee Leaf Rust Caused by Hemileia vastatrix Using Multispectral Images

AS Soares, BS Vieira, TA Bezerra, GD Martins… - Agronomy, 2022 - mdpi.com
Conventional methodology in the field for the sampling of coffee leaf rust, caused by
Hemileia vastatrix, has proven to be impractical. This paper proposes a method for the early …

Validation of two techniques for intraoperative hyperspectral human tissue determination

EL Wisotzky, B Kossack, FC Uecker… - Medical Imaging …, 2019 - spiedigitallibrary.org
Hyperspectral imaging (HSI) is a non-contact optical imaging technique with the potential to
serve as an intraoperative computer-aided diagnostic tool. This work analyzes the optical …

A handheld grassland vegetation monitoring system based on multispectral imaging

A Zhang, S Hu, X Zhang, T Zhang, M Li, H Tao, Y Hou - Agriculture, 2021 - mdpi.com
Monitoring grassland vegetation growth is of vital importance to scientific grazing and
grassland management. People expect to be able to use a portable device, like a mobile …

DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images

JA Vayssade, JN Paoli, C Gée, G Jones - Remote Sensing, 2021 - mdpi.com
The form of a remote sensing index is generally empirically defined, whether by choosing
specific reflectance bands, equation forms or its coefficients. These spectral indices are used …

Robust sensor technologies combined with smart predictive analytics for hostile sewer infrastructures

K Thiyagarajan - 2018 - opus.lib.uts.edu.au
Underground sewer systems are an important national infrastructure requirement of any
country. In most cities, they are old and have been exposed to significant levels of microbial …

Validation of two techniques for intraoperative hyperspectral human tissue determination

EL Wisotzky, B Kossack, FC Uecker… - Journal of Medical …, 2020 - spiedigitallibrary.org
Purpose: Hyperspectral imaging (HSI) is a non-contact optical imaging technique with the
potential to serve as an intraoperative computer-aided diagnostic tool. Our work analyzes …