Results 21 to 30 of about 74,098 (264)
Multitemporal Polarimetric SAR Change Detection for Crop Monitoring and Crop Type Classification [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The interpretation of multidimensional synthetic aperture radar (SAR) data often requires expert knowledge. In fact, it requires to simultaneously consider several time series of polarimetric features to understand the physical changes of a target and its temporal evolution. In an effort to characterize the changes over time, multitemporal polarimetric
Cristian Silva-Perez +3 more
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ISPRS International Journal of Geo-Information, 2019 In terms of providing various scattering mechanisms, polarimetric target decompositions provide certain benefits for the interpretation of PolSAR images.
Mustafa Ustuner, Fusun Balik Sanli
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Remote Sensing, 2022 Crop type mapping is regarded as an essential part of effective agricultural management. Automated crop type mapping using remote sensing images is preferred for the consistent monitoring of crop types.
Geun-Ho Kwak, No-Wook Park
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Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
ISPRS International Journal of Geo-Information, 2018 Earth observation (EO) sensors deliver data at daily or weekly intervals. Most land use and land cover classification (LULC) approaches, however, are designed for cloud-free and mono-temporal observations.
Marc Rußwurm, Marco Körner
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Evaluation of Food Security Based on Remote Sensing Data—Taking Egypt as an Example
Remote Sensing, 2022 Egypt, a country with a harsh natural environment and rapid population growth, is facing difficulty in ensuring its national food security. A novel model developed for assessing food security in Egypt, which applies remote sensing techniques, is ...
Shuzhu Shi, Yu Ye, Rui Xiao
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Classification of Soil and Prediction of Crop
International Journal of Innovative Technology and Exploring Engineering, 2020 Agriculture is a major backbone for most families. As we move from one location to other the soil is different. The yield from crop is not as much as accepted. The soil classification and crop prediction is done manually, so research in this field is at most importance.
Shivakumar K. Honawad* +1 more
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Remote Sensing, 2021 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 essential.
Felix Reuß +3 more
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Zero-Shot Visual Classification with Guided Cropping
CoRR, 2023 Pretrained vision-language models, such as CLIP, show promising zero-shot performance across a wide variety of datasets. For closed-set classification tasks, however, there is an inherent limitation: CLIP image encoders are typically designed to extract generic image-level features that summarize superfluous or confounding information for the target ...
Piyapat Saranrittichai +3 more
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Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data
Remote Sensing, 2021 Time series of vegetation indices can be utilized to capture crop phenology information, and have been widely used in land cover and crop classification, phenological feature extraction, and planting structure monitoring.
Yupeng Kang +6 more
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A novel heuristic target-dependent neural architecture search method with small samples
Frontiers in Plant Science, 2022 It is well known that crop classification is essential for genetic resources and phenotype development. Compared with traditional methods, convolutional neural networks can be utilized to identify features automatically. Nevertheless, crops and scenarios
Leiyang Fu +11 more
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