Enhanced crop classification through integrated optical and SAR data: a deep learning approach for multi-source image fusion

N Liu, Q Zhao, R Williams, B Barrett - International Journal of …, 2023 - Taylor & Francis
Agricultural crop mapping has advanced over the last decades due to improved approaches
and the increased availability of image datasets at various spatial and temporal resolutions …

Monitoring crops using compact polarimetry and the RADARSAT constellation mission

L Dingle Robertson, H McNairn, X Jiao… - Canadian Journal of …, 2022 - Taylor & Francis
Abstract The RADARSAT Constellation Mission (RCM) can acquire imagery in Compact
Polarimetric (CP) mode. With this new mode, and the increased revisit with three satellites …

Field-level crop classification using an optimal dataset of multi-temporal sentinel-1 and polarimetric RADARSAT-2 SAR data with machine learning algorithms

Neetu, P Meshram, SS Ray - Journal of the Indian Society of Remote …, 2021 - Springer
Crop classification for acreage assessment using optical satellite data is challenging during
Kharif (rainy) season in India due to persistent cloud cover. Microwave SAR data provides a …

Land cover mapping of mixed classes using 2D CNN with multi-frequency SAR data

ANJ Kukunuri, GS Phartiyal, D Singh - Advances in Space Research, 2024 - Elsevier
Synthetic aperture radar (SAR) data obtained at multiple frequencies and polarizations
offers valuable complementary information for classifying mixed classes that exhibit similar …

Temporal response of scattering from crops for transmitted ellipticity variation in simulated compact-pol SAR data

V Kumar, H McNairn, A Bhattacharya… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
In this paper, the received compact polarimetry (CP) parameters are analyzed to infer
ellipticity variations related to the transmission of a polarized electromagnetic wave. A …

Identification of optimal single date for rice crop discrimination and relationships between backscatter and biophysical parameters using RISAT-1 hybrid polarimetric …

D Uppala, V Somepalli, RK Venkata… - Geocarto …, 2021 - Taylor & Francis
Synthetic aperture radar (SAR) sensors operate in all weather conditions and have a great
potential for agricultural applications. Its usefulness in rainy (kharif) season during cloud …

Analysis of decomposition methods for classification of land-cover targets based on RISAT-1 hybrid SAR images

A De, D Kumar, P Patel - 2018 3rd International Conference on …, 2018 - ieeexplore.ieee.org
The objective of this paper study delineates the m-delta and m-chi space decomposition
methods to determine the behaviour of scattering mechanisms in terms of odd bounce, even …

Study on classification of land cover targets over parts of Burdwan, West Bengal using RISAT-1 hybrid polarimetric SAR images and optical remote sensing data

A De, D Kumar, P Patel - 2018 4th International Conference on …, 2018 - ieeexplore.ieee.org
The objective of this paper study delineates the m-delta and m-chi space decomposition
methods to determine the behavior of scattering mechanisms in terms of odd bounce, even …

Performance analysis of different decomposition methods for classification of crops and other land cover targets using Risat-1 hybrid SAR imageries

A De, D Kumar, P Patel - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The purpose of the current study is to analyze the decomposition methods for detecting
crops and other land-cover targets based on Risat-1 hybrid polarimetric Synthetic Aperture …

Analysis of crop condition during monsoon season using multispectral and polarimetric SAR images

S Maitra - Remote Sensing for Agriculture, Ecosystems, and …, 2018 - spiedigitallibrary.org
Satellite images are widely used for identification of different types of crops, health
monitoring and estimating crop production. This study is to analyze the effect of seasonal …