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 …

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 …

[PDF][PDF] Advances in radar remote sensing of agricultural crops: a review

T Sivasankar, D Kumar, HS Srivastava… - Int. J. Adv. Sci. Eng. Inf …, 2018 - core.ac.uk
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 …

A novel phenology based feature subset selection technique using random forest for multitemporal PolSAR crop classification

S Hariharan, D Mandal, S Tirodkar… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
Feature selection techniques intent to select a subset of features that minimizes redundancy
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

Z Han, C Zhang, L Gao, Z Zeng, B Zhang… - ISPRS Journal of …, 2023 - Elsevier
Accurate crop map** is of great significance for crop yield forecasting, agricultural
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 …

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** …

Remote sensing and geographic information system: a tool for precision farming

PK Mani, A Mandal, S Biswas, B Sarkar… - … technologies for crops …, 2021 - Springer
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 …

Comparison of long short-term memory networks and random forest for sentinel-1 time series based large scale crop classification

F Reuß, I Greimeister-Pfeil, M Vreugdenhil, W Wagner - Remote Sensing, 2021 - mdpi.com
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 …

Self-supervision assisted multimodal remote sensing image classification with coupled self-loo** convolution networks

S Pande, B Banerjee - Neural Networks, 2023 - Elsevier
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 …