Plant viral disease detection: From molecular diagnosis to optical sensing technology—A multidisciplinary review
Plant viral diseases result in productivity and economic losses to agriculture, necessitating
accurate detection for effective control. Lab-based molecular testing is the gold standard for …
accurate detection for effective control. Lab-based molecular testing is the gold standard for …
Methods and challenges using multispectral and hyperspectral images for practical change detection applications
C Kwan - Information, 2019 - mdpi.com
Multispectral (MS) and hyperspectral (HS) images have been successfully and widely used
in remote sensing applications such as target detection, change detection, and anomaly …
in remote sensing applications such as target detection, change detection, and anomaly …
Fine crop classification in high resolution remote sensing based on deep learning
T Lu, L Wan, L Wang - Frontiers in Environmental Science, 2022 - frontiersin.org
Mapping the crop type can provide a basis for extracting information on crop planting
structure, and area and yield estimation. Obtaining large-scale crop-type mapping by field …
structure, and area and yield estimation. Obtaining large-scale crop-type mapping by field …
Identifying tree health using sentinel-2 images: a case study on Tortrix viridana L. infected oak trees in Western Iran
F Haghighian, S Yousefi, S Keesstra - Geocarto International, 2022 - Taylor & Francis
Forest land has a vital role in our planet ecosystem health. Forest areas are under natural
and human pressure worldwide. Pests may have irreparable damages to vegetation cover; …
and human pressure worldwide. Pests may have irreparable damages to vegetation cover; …
[图书][B] Organic Narrowband Photodetectors: Materials, Devices and Applications
V Pecunia - 2019 - iopscience.iop.org
This book is the first standalone volume on organic narrowband photodetectors, providing a
comprehensive and up-to-date overview of the field and its applications. The book …
comprehensive and up-to-date overview of the field and its applications. The book …
Object detection of satellite images using multi-channel higher-order local autocorrelation
K Uehara, H Sakanashi, H Nosato… - … on systems, man …, 2017 - ieeexplore.ieee.org
The Earth observation satellites have been monitoring the earth's surface for a long time,
and the images taken by the satellites contain large amounts of valuable data. However, it is …
and the images taken by the satellites contain large amounts of valuable data. However, it is …
Multispectral Remote Sensing Image Change Detection Based on Twin Neural Networks
W Mo, Y Tan, Y Zhou, Y Zhi, Y Cai, W Ma - Electronics, 2023 - mdpi.com
Remote sensing image change detection can effectively show the change information of
land surface features such as roads and buildings at different times, which plays an …
land surface features such as roads and buildings at different times, which plays an …
Classification methods in image analysis with a special focus on medical analytics
L Amelio, A Amelio - Machine Learning Paradigms: Advances in Data …, 2019 - Springer
This paper describes the design and application of classification methods for image analysis
and processing. Accordingly, the main trends and challenges of the machine learning are …
and processing. Accordingly, the main trends and challenges of the machine learning are …
Identifying saline wetlands in an arid desert climate using Landsat remote sensing imagery. Application on Ouargla Basin, southeastern Algeria
Supervised and unsupervised satellite image classifications have progressed greatly in
recent years. However, discrimination difficulties still remain among classes that directly …
recent years. However, discrimination difficulties still remain among classes that directly …
Gradient-magnitude-based support regions in structural land use classification
C Unsalan - IEEE Geoscience and Remote Sensing Letters, 2006 - ieeexplore.ieee.org
Land use classification is one of the major problems in remote sensing. Previous studies
focused on multispectral information, texture-based features, and features based on edge …
focused on multispectral information, texture-based features, and features based on edge …