Fusion of Satellite Images and Weather Data With Transformer Networks for Downy Mildew Disease Detection

A Vision Transformer Model for Convolution-Free Multilabel Classification of Satellite Imagery in Deforestation Monitoring

(2022) Maria Kaselimi et al.   IEEE Transactions on Neural Networks and Learning Systems

RGB-D based multi-modal deep learning for spacecraft and debris recognition

(2022) Nouar AlDahoul et al.   Scientific Reports

ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

(2022) Onat Dalmaz et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Vision Transformers for Remote Sensing Image Classification

(2021) Yakoub Bazi et al.   Remote Sensing

Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research

(2021) Maryam Ouhami et al.   Remote Sensing

Efficient Transformer for Remote Sensing Image Segmentation

(2021) Zhiyong Xu et al.   Remote Sensing

Remote Sensing Image Change Detection With Transformers

(2021) Hao Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation

(2021) Xiangkai Xu et al.   Remote Sensing

TRS: Transformers for Remote Sensing Scene Classification

(2021) Jianrong Zhang et al.   Remote Sensing

Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis

(2020) T. Poblete et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An end-to-end model for rice yield prediction using deep learning fusion

(2020) Zheng Chu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

(2020) Jaafar Abdulridha et al.   BIOSYSTEMS ENGINEERING

Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery

(2020) Kyriacos Themistocleous et al.   Remote Sensing

VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map

(2020) Mohamed Kerkech et al.   Remote Sensing

Monitoring Wildfires in the Northeastern Peruvian Amazon Using Landsat-8 and Sentinel-2 Imagery in the GEE Platform

(2020) Elgar Barboza Castillo et al.   ISPRS International Journal of Geo-Information

Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging

(2020) Zhishuang Song et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

(2019) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Magazine

Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease

(2019) Sergio Trilles et al.   Sustainable Computing-Informatics & Systems

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

(2019) Charlotte Pelletier et al.   Remote Sensing

Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network

(2019) Zhi Liu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An IoT-based cognitive monitoring system for early plant disease forecast

(2019) Ahmed Khattab et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks

(2019) Johannes Rosentreter et al.   REMOTE SENSING OF ENVIRONMENT

Soybean yield prediction from UAV using multimodal data fusion and deep learning

(2019) Maitiniyazi Maimaitijiang et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing for agricultural applications: A meta-review

(2019) M. Weiss et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification with Multi-Temporal Sentinel-2 Data

(2018) Magnus Persson et al.   Remote Sensing

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

(2017) Luyang Jing et al.   SENSORS

Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters

(2011) Sachidananda Mishra et al.   REMOTE SENSING OF ENVIRONMENT

Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery

(2010) Heri Santoso et al.   PRECISION AGRICULTURE