Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
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 …
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
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 …
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
The ability to automatically monitor agricultural fields is an important capability in precision
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …
A spatio temporal spectral framework for plant stress phenoty**
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
potential to serve as an intraoperative computer-aided diagnostic tool. Our work analyzes …