Plant viral disease detection: From molecular diagnosis to optical sensing technology—A multidisciplinary review

YM Wang, B Ostendorf, D Gautam, N Habili, V Pagay - Remote Sensing, 2022 - mdpi.com
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 …

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 …

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 …

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; …

[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 …

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 …

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 …

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 …

Identifying saline wetlands in an arid desert climate using Landsat remote sensing imagery. Application on Ouargla Basin, southeastern Algeria

F Medjani, B Aissani, S Labar, M Djidel… - Arabian Journal of …, 2017 - Springer
Supervised and unsupervised satellite image classifications have progressed greatly in
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 …