Systematic map** study on remote sensing in agriculture
JA García-Berná, S Ouhbi, B Benmouna… - Applied Sciences, 2020 - mdpi.com
The area of remote sensing techniques in agriculture has reached a significant degree of
development and maturity, with numerous journals, conferences, and organizations …
development and maturity, with numerous journals, conferences, and organizations …
Multi-temporal SAR data large-scale crop map** based on U-Net model
S Wei, H Zhang, C Wang, Y Wang, L Xu - Remote Sensing, 2019 - mdpi.com
Due to the unique advantages of microwave detection, such as its low restriction from the
atmosphere and its capability to obtain structural information about ground targets, synthetic …
atmosphere and its capability to obtain structural information about ground targets, synthetic …
[PDF][PDF] Advances in radar remote sensing of agricultural crops: a review
There are enormous advantages of a review article in the field of emerging technology like
radar remote sensing applications in agriculture. This paper aims to report select recent …
radar remote sensing applications in agriculture. This paper aims to report select recent …
A novel phenology based feature subset selection technique using random forest for multitemporal PolSAR crop classification
Feature selection techniques intent to select a subset of features that minimizes redundancy
and maximizes relevancy for classification problems in machine learning. Standard methods …
and maximizes relevancy for classification problems in machine learning. Standard methods …
[HTML][HTML] Spatio-temporal multi-level attention crop map** method using time-series SAR imagery
Accurate crop map** is of great significance for crop yield forecasting, agricultural
productivity development and agricultural management. Thanks to its all-time and all …
productivity development and agricultural management. Thanks to its all-time and all …
A watershed-segmentation-based improved algorithm for extracting cultivated land boundaries
Y Xue, J Zhao, M Zhang - Remote Sensing, 2021 - mdpi.com
To accurately extract cultivated land boundaries based on high-resolution remote sensing
imagery, an improved watershed segmentation algorithm was proposed herein based on a …
imagery, an improved watershed segmentation algorithm was proposed herein based on a …
Early-Season Crop Map** on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks
G Fontanelli, A Lapini, L Santurri… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Early-season crop map** provides decision-makers with timely information on crop types
and conditions that are crucial for agricultural management. Current satellite-based map** …
and conditions that are crucial for agricultural management. Current satellite-based map** …
Remote sensing and geographic information system: a tool for precision farming
The right time application of the right amount of input is a prerequisite to optimizing
profitability and sustainability with a lesser impact on environmental degradation. Such can …
profitability and sustainability with a lesser impact on environmental degradation. Such can …
Comparison of long short-term memory networks and random forest for sentinel-1 time series based large scale crop classification
To ensure future food security, improved agricultural management approaches are required.
For many of those applications, precise knowledge of the distribution of crop types is …
For many of those applications, precise knowledge of the distribution of crop types is …
Self-supervision assisted multimodal remote sensing image classification with coupled self-loo** convolution networks
Recently, remote sensing community has seen a surge in the use of multimodal data for
different tasks such as land cover classification, change detection and many more. However …
different tasks such as land cover classification, change detection and many more. However …