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Remote Sensing: An Automated Methodology for Olive Tree Detection and Counting in Satellite Images

https://doi.org/10.1109/access.2018.2884199
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-48887-5_2openalex-snapshot
Olive Biology
inferredcites →https://doi.org/10.1007/978-3-540-74607-2_84openalex-snapshot
Applying Image Analysis and Probabilistic Techniques for Counting Olive Trees in High-Resolution Satellite Images
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Olive Trees Detection in Very High Resolution Images
inferredcites →https://doi.org/10.1007/978-981-10-6454-8_26openalex-snapshot
An Improved Iris Segmentation Technique Using Circular Hough Transform
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GPU-based normalized cuts for road extraction using satellite imagery
inferredcites →https://doi.org/10.1016/0034-4257(91)90048-bopenalex-snapshot
A review of assessing the accuracy of classifications of remotely sensed data
inferredcites →https://doi.org/10.1016/j.agrformet.2017.11.003openalex-snapshot
NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types
inferredcites →https://doi.org/10.1016/j.eswa.2016.04.029openalex-snapshot
Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers
inferredcites →https://doi.org/10.1016/j.rse.2017.11.024openalex-snapshot
Supervised methods of image segmentation accuracy assessment in land cover mapping
inferredcites →https://doi.org/10.1051/matecconf/201815006029openalex-snapshot
Comparison between Edge Detection Methods on UTeM Unmanned Arial Vehicles Images
inferredcites →https://doi.org/10.1080/13658816.2010.515946openalex-snapshot
Synergy of very high resolution optical and radar data for object-based olive grove mapping
inferredcites →https://doi.org/10.1109/access.2018.2804901openalex-snapshot
A Robust No-Reference, No-Parameter, Transform Domain Image Quality Metric for Evaluating the Quality of Color Images
inferredcites →https://doi.org/10.1109/access.2018.2837062openalex-snapshot
Multi-Level Image Thresholding Using Modified Flower Pollination Algorithm
inferredcites →https://doi.org/10.1109/fuzzy.2010.5584310openalex-snapshot
Fuzzy logic applied to detect olive trees in high resolution images
inferredcites →https://doi.org/10.1109/igarss.2009.5418019openalex-snapshot
An automatic method for counting olive trees in very high spatial remote sensing images
inferredcites →https://doi.org/10.1111/nph.15177openalex-snapshot
Inferring pathogen dynamics from temporal count data: the emergence of Xylella fastidiosa in France is probably not recent
inferredcites →https://doi.org/10.1117/12.2264216openalex-snapshot
An image enhancement technique using nonlinear transfer function and unsharp masking in multispectral endoscope
inferredcites →https://doi.org/10.14358/pers.75.10.1201openalex-snapshot
Tree Crown Detection on Multispectral VHR Satellite Imagery
inferredcites →https://doi.org/10.20944/preprints201710.0170.v1openalex-snapshot
A Method to Count Olive Trees in Heterogenous Plantations from Aerial Photographs
inferredcites →https://doi.org/10.3390/rs6109749openalex-snapshot
Oil Palm Tree Detection with High Resolution Multi-Spectral Satellite Imagery

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Empirical Study of Far-Field Crop Quality Examination Models: A Numerical Outlook
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inferred← citeshttps://doi.org/10.1007/s11227-022-04738-3openalex-snapshot
A deep learning-based framework for accurate identification and crop estimation of olive trees
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Image classification on smart agriculture platforms: Systematic literature review
inferred← citeshttps://doi.org/10.1016/j.atech.2022.100068openalex-snapshot
Detecting olive grove abandonment with Sentinel-2 and machine learning: The development of a web-based tool for land management
inferred← citeshttps://doi.org/10.1016/j.compag.2022.107280openalex-snapshot
Expansion of the olive crop based on modeling climatic variables using geographic information system (GIS) in Aljouf region KSA
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2022.101878openalex-snapshot
Oil palm trees detection and counting on Microsoft Bing Maps Very High Resolution (VHR) satellite imagery and Unmanned Aerial Vehicles (UAV) data using image processing thresholding approach
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.08.003openalex-snapshot
Sub-national scale mapping of individual olive trees integrating Earth observation and deep learning
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102336openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rsase.2022.100914openalex-snapshot
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Experimental investigation of crop-disease detection and crop-yield analysis systems: A numerical outlook
inferred← citeshttps://doi.org/10.1080/01431161.2023.2282404openalex-snapshot
Evaluating the potential of multi-temporal Sentinel-1 and Sentinel-2 data for regional mapping of olive trees
inferred← citeshttps://doi.org/10.1080/14498596.2026.2658529openalex-snapshot
Advances in tree detection and species classification using remote sensing data: a review
inferred← citeshttps://doi.org/10.1080/22797254.2021.1986678openalex-snapshot
Trees outside forest in Italian agroforestry landscapes: detection and mapping using sentinel-2 imagery
inferred← citeshttps://doi.org/10.1088/1748-9326/adf23eopenalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.2999078openalex-snapshot
An Automated Method for Detection and Enumeration of Olive Trees Through Remote Sensing
inferred← citeshttps://doi.org/10.1109/agro-geoinformatics.2019.8820712openalex-snapshot
Determination of Olive Trees with Multi-sensor Data Fusion
inferred← citeshttps://doi.org/10.1109/iccit54785.2021.9689914openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccresa57091.2022.10352472openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icmcsi61536.2024.00041openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10642169openalex-snapshot
Vegetation Indices Time Series to Discriminate Olive Trees Cultivars
inferred← citeshttps://doi.org/10.1109/iros55552.2023.10341765openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/1549842openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/softcom52868.2021.9559111openalex-snapshot
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inferred← citeshttps://doi.org/10.2478/ata-2023-0017openalex-snapshot
A Real-Time Olive Fruit Detection for Harvesting Robot Based on YOLO Algorithms
inferred← citeshttps://doi.org/10.25046/aj080210openalex-snapshot
Development and Analysis of Models for Detection of Olive Trees
inferred← citeshttps://doi.org/10.3390/agriengineering8010009openalex-snapshot
Mapping Olive Crops (Olea europaea L.) in the Atacama Desert (Peru): An Integration of UAV-Satellite Multispectral Images and Ensemble Machine Learning Models
inferred← citeshttps://doi.org/10.3390/agronomy16171627openalex-snapshot
Deep Learning-Based Classification of Olive Orchard Planting Systems Using High-Resolution Aerial Orthophotography: A Case Study in Spain
inferred← citeshttps://doi.org/10.3390/drones8080408openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/geomatics6020022openalex-snapshot
Benchmarking YOLO and Transformer-Based Detectors for Olive Tree Crown Identification in UAV Imagery
inferred← citeshttps://doi.org/10.3390/jimaging12080358openalex-snapshot
From Detection to Maps: A Review of Automated Urban Tree Mapping Using UAV and High-Resolution Satellite Data
inferred← citeshttps://doi.org/10.3390/jsan10010015openalex-snapshot
Analysis, Modeling and Multi-Spectral Sensing for the Predictive Management of Verticillium Wilt in Olive Groves
inferred← citeshttps://doi.org/10.3390/rs12050760openalex-snapshot
Automatic Detection System of Olive Trees Using Improved K-Means Algorithm
inferred← citeshttps://doi.org/10.3390/rs13091740openalex-snapshot
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco
inferred← citeshttps://doi.org/10.3390/rs14215430openalex-snapshot
Twenty Years of Remote Sensing Applications Targeting Landscape Analysis and Environmental Issues in Olive Growing: A Review
inferred← citeshttps://doi.org/10.3390/rs14235951openalex-snapshot
The Role of Remote Sensing in Olive Growing Farm Management: A Research Outlook from 2000 to the Present in the Framework of Precision Agriculture Applications
inferred← citeshttps://doi.org/10.3390/rs15010050openalex-snapshot
Spatio-Temporal Assessment of Olive Orchard Intensification in the Saïss Plain (Morocco) Using k-Means and High-Resolution Satellite Data
inferred← citeshttps://doi.org/10.3390/rs15133334openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs16081324openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs17183245openalex-snapshot
Monocular Depth Estimation Driven Canopy Segmentation for Enhanced Determination of Vegetation Indices in Olive Grove Monitoring
inferred← citeshttps://doi.org/10.3390/s21072363openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22166219openalex-snapshot
Automatic Detection of Olive Tree Canopies for Groves with Thick Plant Cover on the Ground
inferred← citeshttps://doi.org/10.3390/s24051370openalex-snapshot
Identification of Olives Using In-Field Hyperspectral Imaging with Lightweight Models
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Tecnologías emergentes y agricultura de precisión en cultivos tridimensionales : implementación y mejora de las técnicas de aplicación de fitosanitarios en viña
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