Crop classification in the middle reaches of the Hei River based on model transfer
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-80327-z
Abstract: Crop classification using remote sensing technology is highly important for monitoring agricultural resources and managing water usage, especially in water-scarce regions like the Hei River. Crop classification requires a substantial number of labeled samples, but… read more here.
Keywords: classification; hei river; model; crop classification ... See more keywords
Crop classification for UAV visible imagery using deep semantic segmentation methods
Sign Up to like & getrecommendations! Published in 2022 at "Geocarto International"
DOI: 10.1080/10106049.2022.2032387
Abstract: Abstract Unmanned aerial vehicle (UAV) has become a mainstream data collection platform in precision agriculture. For more accessible UAV–visible imagery, the high spatial resolution brings the rich geometric texture features triggered large differences in same… read more here.
Keywords: crop; uav visible; crop classification; visible imagery ... See more keywords
Crop classification based on G-CNN using multi-scale remote sensing images
Sign Up to like & getrecommendations! Published in 2024 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2024.2388848
Abstract: ABSTRACT Crop classification is important for monitoring crop growth and ensuring national food security. Crop plots have a complex spatial planting structure with a certain degree of fragmentation, which leads to mixing of different crops… read more here.
Keywords: classification; cnn; crop classification; remote sensing ... See more keywords
Satin Bowerbird Optimization With Convolutional LSTM for Food Crop Classification on UAV Imagery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269806
Abstract: Food crop classification and identification are crucial aspects of modern agriculture. With progression of drones or unmanned aerial vehicles (UAVs), crop detection from RGB images goes through a paradigm shift from traditional image processing methods… read more here.
Keywords: technique; crop; food crop; crop classification ... See more keywords
CC-SSL: A Self-Supervised Learning Framework for Crop Classification With Few Labeled Samples
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3211994
Abstract: Labeled samples with real crop types are important for crop classification, but the acquisition of large batches of labeled samples will consume many resources, so it is necessary to study crop classification based on few… read more here.
Keywords: crop; crop classification; supervised learning; framework ... See more keywords
Crop Classification of Multitemporal PolSAR Based on 3-D Attention Module With ViT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3270488
Abstract: Multitemporal polarimertic SAR is considered to be very effective in crop classification and cultivated land detection, which has received much attention from researchers. Currently, for most multitemporal polarimetric SAR data classification methods, the simultaneous temporal–polarimetric–spatial… read more here.
Keywords: classification; attention module; crop classification; attention ... See more keywords
Extended Attribute Profiles for Precise Crop Classification in UAV-Borne Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3348462
Abstract: Unmanned aerial vehicle (UAV)-borne hyperspectral imagery has been applied in precision agriculture, owing to its high spatial and spectral resolution. Specifically, the high spatial resolution is conducive to revealing the textural characteristics of crops, while… read more here.
Keywords: classification; crop classification; uav borne; hyperspectral imagery ... See more keywords
Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3101965
Abstract: Optical satellite sensors cannot see the earth’s surface through clouds. Despite the periodic revisit cycle, image sequences acquired by earth observation satellites are, therefore, irregularly sampled in time. State-of-the-art methods for crop classification (and other… read more here.
Keywords: neural ordinary; crop; classification; crop classification ... See more keywords
CMINet: A Unified Cross-Modal Integration Framework for Crop Classification From Satellite Image Time Series
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3522942
Abstract: Accurate automatic interpretation of crops is crucial for agricultural monitoring and food security assessment. In recent years, there has been a rise in platforms generating multimodal and multitemporal remote sensing images at an unprecedented speed.… read more here.
Keywords: classification; crop classification; modal; classification satellite ... See more keywords
Advancing crop classification in smallholder agriculture: A multifaceted approach combining frequency-domain image co-registration, transformer-based parcel segmentation, and Bi-LSTM for crop classification
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0299350
Abstract: Agricultural Remote Sensing has the potential to enhance agricultural monitoring in smallholder economies to mitigate losses. However, its widespread adoption faces challenges, such as diminishing farm sizes, lack of reliable data-sets and high cost related… read more here.
Keywords: crop; smallholder agriculture; crop classification; image registration ... See more keywords
Deep Learning Application for Crop Classification via Multi-Temporal Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13040906
Abstract: The combination of multi-temporal images and deep learning is an efficient way to obtain accurate crop distributions and so has drawn increasing attention. However, few studies have compared deep learning models with different architectures, so… read more here.
Keywords: crop; crop classification; classification; multi temporal ... See more keywords