Delineation of cultivated land parcels based on deep convolutional networks and geographical thematic scene division of remotely sensed images
Extraction of cultivated land information from high spatial resolution remote sensing images
is increasingly becoming an important approach to digitization and informatization in …
is increasingly becoming an important approach to digitization and informatization in …
Advanced fully convolutional networks for agricultural field boundary detection
Accurate spatial information of agricultural fields is important for providing actionable
information to farmers, managers, and policymakers. On the other hand, the automated …
information to farmers, managers, and policymakers. On the other hand, the automated …
Deep learning for automatic outlining agricultural parcels: Exploiting the land parcel identification system
A Garcia-Pedrero, M Lillo-Saavedra… - IEEE …, 2019 - ieeexplore.ieee.org
Accurate and up-to-date information on the spatial and geographical characteristics of
agricultural areas is an indispensable value for the various activities related to agriculture …
agricultural areas is an indispensable value for the various activities related to agriculture …
Exploring the potential of multi-temporal crop canopy models and vegetation indices from pleiades imagery for yield estimation
D Dimov, P Noack - Remote Sensing, 2023 - mdpi.com
In this paper, we demonstrate the capabilities of Pleiades-1a imagery for very high
resolution (VHR) crop yield estimation by utilizing the predictor variables from the horizontal …
resolution (VHR) crop yield estimation by utilizing the predictor variables from the horizontal …
RBP-MTL: Agricultural Parcel Vectorization via Region-Boundary-Parcel Decoupled Multitask Learning
Y Pan, X Wang, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Agricultural parcel vectorization is important for precision agriculture when analyzing crops
at the parcel scale. However, it is a challenging task to vectorize parcels from satellite …
at the parcel scale. However, it is a challenging task to vectorize parcels from satellite …
Crowd-driven and automated mapping of field boundaries in highly fragmented agricultural landscapes of Ethiopia with very high spatial resolution imagery
Mapping the extent and location of field boundaries is critical to food security analysis but
remains problematic in the Global South where such information is needed the most. The …
remains problematic in the Global South where such information is needed the most. The …
Hierarchical extraction of cropland boundaries using Sentinel-2 time-series data in fragmented agricultural landscapes
W Song, C Wang, T Dong, Z Wang, C Wang… - … and Electronics in …, 2023 - Elsevier
Accurately extracting cropland field parcels from satellite data in fragmented agricultural
landscapes presents huge challenges due to small field sizes and irregular field shapes …
landscapes presents huge challenges due to small field sizes and irregular field shapes …
Parcs: A deployment-oriented ai system for robust parcel-level cropland segmentation of satellite images
Cropland segmentation of satellite images is an essential basis for crop area and yield
estimation tasks in the remote sensing and computer vision interdisciplinary community …
estimation tasks in the remote sensing and computer vision interdisciplinary community …
Small, sparse, but substantial: techniques for segmenting small agricultural fields using sparse ground data
The recent thrust on digital agriculture (DA) has renewed significant research interest in the
automated delineation of agricultural fields. Most prior work addressing this problem has …
automated delineation of agricultural fields. Most prior work addressing this problem has …
Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results
In precision agriculture, detecting productive crop fields is an essential practice that allows
the farmer to evaluate operating performance separately and compare different seed …
the farmer to evaluate operating performance separately and compare different seed …