[HTML][HTML] Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and …

B Fu, Y Liang, Z Lao, X Sun, S Li, H He, W Sun… - International Journal of …, 2023 - Elsevier
Mangroves play a significant role in carbon sequestration and storage. Mapping mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …

Crop type and land cover mapping in northern Malawi using the integration of sentinel-1, sentinel-2, and planetscope satellite data

D Kpienbaareh, X Sun, J Wang, I Luginaah… - Remote Sensing, 2021 - mdpi.com
Mapping crop types and land cover in smallholder farming systems in sub-Saharan Africa
remains a challenge due to data costs, high cloud cover, and poor temporal resolution of …

Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model

P Wei, D Chai, T Lin, C Tang, M Du, J Huang - ISPRS journal of …, 2021 - Elsevier
Identifying spatial distribution of crop planting in large-scale is one of the most significant
applications of remote sensing imagery. As an active remote sensing system, synthetic …

[HTML][HTML] 合成孔径雷达极化成像解译识别技术的进展与展望

王雪松, 陈思伟 - 雷达学报, 2020 - radars.ac.cn
极化合成孔径雷达(SAR) 能够获取目标的全极化信息, 在对地观测, 灾害评估,
侦察监视等民用和军用领域得到广泛应用. 国内主要高校, 中科院, 工业部门和用户单位在该领域 …

Mapping winter wheat planting area and monitoring its phenology using Sentinel-1 backscatter time series

Y Song, J Wang - Remote Sensing, 2019 - mdpi.com
Crop planting area mapping and phenology monitoring are of great importance to analyzing
the impacts of climate change on agricultural production. In this study, crop planting area …

Assessing the added value of Sentinel-1 PolSAR data for crop classification

M Ioannidou, A Koukos, V Sitokonstantinou… - Remote Sensing, 2022 - mdpi.com
Crop classification is an important remote sensing task with many applications, eg, food
security monitoring, ecosystem service mapping, climate change impact assessment, etc …

A comprehensive survey on frost filter and its proposed variants

S Banerjee, SS Chaudhuri, R Mehra… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Synthetic Aperture Radar (SAR) produces high resolution, day & night and weather
independent images which provide crucial qualitative and quantitative information required …

Early identification of seed maize and common maize production fields using sentinel-2 images

T Ren, Z Liu, L Zhang, D Liu, X Xi, Y Kang, Y Zhao… - Remote Sensing, 2020 - mdpi.com
Accurate and timely access to the production area of crop seeds allows the seed market and
secure seed supply to be monitored. Seed maize and common maize production fields …

Crop classification based on GDSSM-CNN using multi-temporal RADARSAT-2 SAR with limited labeled data

H Li, J Lu, G Tian, H Yang, J Zhao, N Li - Remote Sensing, 2022 - mdpi.com
Crop classification is an important part of crop management and yield estimation. In recent
years, neural networks have made great progress in synthetic aperture radar (SAR) crop …

Adaptive speckle filter for multi-temporal PolSAR image with multi-dimensional information fusion

H Li, X Cui, M Li, J Deng, S Chen - Remote Sensing, 2023 - mdpi.com
Polarimetric synthetic aperture radar (PolSAR) is an important sensor for earth observation.
Multi-temporal PolSAR images obtained by successive observations of the region of interest …