On the public citation graph
SolarDetector: Automatic Solar PV Array Identification using Big Satellite Imagery Data
0 signed · 25 inferred · view as graph
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01231-1_14openalex-snapshot
Transferring GANs: Generating Images from Limited Data
inferredcites →https://doi.org/10.1016/j.future.2019.02.012openalex-snapshot
IoT-enabled smart grid via SM: An overview
inferredcites →https://doi.org/10.1016/j.suscom.2021.100595openalex-snapshot
SolarDiagnostics: Automatic damage detection on rooftop solar photovoltaic arrays
inferredcites →https://doi.org/10.1016/j.suscom.2022.100684openalex-snapshot
Photovoltaic energy generation systems monitoring and performance optimization using wireless sensors network and metaheuristics
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1109/aipr.2017.8457960openalex-snapshot
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection
inferredcites →https://doi.org/10.1109/icrera.2015.7418643openalex-snapshot
Automatic solar photovoltaic panel detection in satellite imagery
inferredcites →https://doi.org/10.1109/icrera.2016.7884415openalex-snapshot
A deep convolutional neural network and a random forest classifier for solar photovoltaic array detection in aerial imagery
inferredcites →https://doi.org/10.1109/icrera.2016.7884446openalex-snapshot
Image features for pixel-wise detection of solar photovoltaic arrays in aerial imagery using a random forest classifier
inferredcites →https://doi.org/10.1109/idaacs.2017.8094501openalex-snapshot
Convolutional neural network based solar photovoltaic panel detection in satellite photos
inferredcites →https://doi.org/10.1109/igarss.2017.8127092openalex-snapshot
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery
inferredcites →https://doi.org/10.1109/igarss.2017.8127279openalex-snapshot
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery
inferredcites →https://doi.org/10.1109/iisa.2017.8316458openalex-snapshot
A cyber-physical system approach for photovoltaic array monitoring and control
inferredcites →https://doi.org/10.1109/ipsn48710.2020.00024openalex-snapshot
SolarFinder: Automatic Detection of Solar Photovoltaic Arrays
inferredcites →https://doi.org/10.1109/pedg.2018.8447750openalex-snapshot
On a Future for Smart Inverters with Integrated System Functions
inferredcites →https://doi.org/10.46586/tches.v2019.i1.209-237openalex-snapshot
The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4827678openalex-extracted
Integrated Solar Panel Detection and Energy Production Estimation Using Unet and High-Resolution Imagery
inferred← citeshttps://doi.org/10.1109/iccsce61582.2024.10696810openalex-snapshot
Automated CNN-based Semantic Segmentation for Thermal Image of Solar Photovoltaic (PV) Panel
inferred← citeshttps://doi.org/10.1109/icdcs63083.2025.00100openalex-snapshot
Space Booking: Enabling Performance-Critical Applications in Broadband Satellite Networks
inferred← citeshttps://doi.org/10.1109/kse68178.2025.11309574openalex-snapshot
Deep Learning-Based Segmentation of Rooftop Photovoltaic Panels in Ho Chi Minh City, Vietnam
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