[HTML][HTML] Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm
J Zhou, X Gu, H Gong, X Yang, Q Sun, L Guo, Y Pan - Ecological Indicators, 2024 - Elsevier
China has abundant straw resources, but challenges in utilization persist. Utilization rates
need improvement, and environmental pollution from straw burning remains a significant …
need improvement, and environmental pollution from straw burning remains a significant …
[HTML][HTML] A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series
Precise and timely information about crop types plays a crucial role in various agriculture-
related applications. However, crop type mapping methods often face significant challenges …
related applications. However, crop type mapping methods often face significant challenges …
Multi-random ensemble on Partial Least Squares regression to predict wheat yield and its losses across water and nitrogen stress with hyperspectral remote sensing
B Mao, Q Cheng, L Chen, F Duan, X Sun, Y Li… - … and Electronics in …, 2024 - Elsevier
The integration of regression techniques with remote sensing has proved to be a highly
advantageous approach for estimating crop yield in various plant species. This study …
advantageous approach for estimating crop yield in various plant species. This study …
[HTML][HTML] Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing
Urban wetland parks are essential for protecting ecosystems and alleviating urban heat
island effects. Owing to the impact of urban sprawl and human activities, habitats in wetland …
island effects. Owing to the impact of urban sprawl and human activities, habitats in wetland …
Early Crop Identification Study Based on Sentinel-1/2 Images with Feature Optimization Strategy
J Luo, M Xie, Q Wu, J Luo, Q Gao, X Shao, Y Zhang - Agriculture, 2024 - mdpi.com
The timely and accurate mapping of crop types is crucial for agricultural insurance, futures,
and assessments of food security risks. However, crop mapping is currently focused on the …
and assessments of food security risks. However, crop mapping is currently focused on the …
Capsule Broad Learning System Network for Robust Synthetic Aperture Radar Automatic Target Recognition with Small Samples
The utilization of deep learning in Synthetic Aperture Radar (SAR) Automatic Target
Recognition (ATR) has witnessed a recent surge owing to its remarkable feature extraction …
Recognition (ATR) has witnessed a recent surge owing to its remarkable feature extraction …
Object Detection Using ESRGAN with a Sequential Transfer Learning on Remote Sensing Embedded Systems
YR Musunuri, C Kim, OS Kwon, SY Kung - IEEE Access, 2024 - ieeexplore.ieee.org
The field of remote sensing has experienced rapid advancement owing to the widespread
utilization of image sensors, drones, and satellites for data collection. However, object …
utilization of image sensors, drones, and satellites for data collection. However, object …
Serial cascaded deep feature extraction-based adaptive attention dilated model for crop recommendation framework
P Kumar - Applied Soft Computing, 2024 - Elsevier
Effective crop farming depends on wise selection of crops. It is an essential factor that has to
be fulfilled before beginning an agricultural endeavor. Conventionally, the crop that has to …
be fulfilled before beginning an agricultural endeavor. Conventionally, the crop that has to …
Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns
This paper addresses the challenge of training deep learning models for fire smoke scene
detection from multi-sensor, multi-spectral satellite imagery, where spectral bands vary and …
detection from multi-sensor, multi-spectral satellite imagery, where spectral bands vary and …
基于可变尺度先验框的声呐图像目标检测.
黄思佳， 宋纯锋， 李璇 - Systems Engineering & Electronics, 2024 - search.ebscohost.com
利用深度学习对声呐图像进行目标检测是近年来的研究热点, 然而声呐图像存在目标尺度分布
集中, 数据获取难等问题, 导致检测效果难以满足需求. 针对该问题, 提出了一种基于可变尺度先 …
集中, 数据获取难等问题, 导致检测效果难以满足需求. 针对该问题, 提出了一种基于可变尺度先 …