3D-PV-Locator

PV detector

Automated detection and registration of rooftop-mounted photovoltaic systems in 3D from satellite imagery.

Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

GitHub

51 stars
4 watching
6 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list

aiclimate-changecomputer-visiondeep-learningdeeplabv3deepsolarinception-v3network-planningneurips-2020pv-systemsremote-sensingrenewable-energysatellite-imagerysolarsolar-panels

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
kdmayer/pointer A LiDAR-derived point cloud dataset of one million English buildings linked to energy characteristics 13
slacgismo/pv-system-profiler Estimates PV array location and orientation from real-world power datasets 8
vmarsocci/3dcd Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. 28
rentadronecl/photovoltaic_fault_detector An application that uses deep learning to detect faults in photovoltaic panels using thermal infrared images. 41
v2ai/det3d A general-purpose 3D object detection codebase that supports multiple algorithms and datasets 1,503
lkruitwagen/solar-pv-global-inventory Global inventory of commercial-scale solar power stations using machine learning and remote sensing imagery to provide geospatial data for energy management and sustainability studies 140
sandialabs/pvops A suite of tools for analyzing photovoltaic energy system data 18
kgpml/hyperspectral Developing Deep Learning models for classifying land covers in hyperspectral images using Neural Networks 298
maudzung/sfa3d A deep learning framework for fast and accurate 3D object detection from LiDAR point clouds 1,033
activevisionlab/lalaloc This project develops software for detecting and understanding 3D layouts in dynamic environments. 23
amsterdam-ai-team/urban_pointcloud_processing Automates classification and labeling of urban 3D point clouds using data fusion and region growing techniques. 167
matlab-deep-learning/lidar-object-detection-using-complex-yolov4 Provides pre-trained deep learning models for object detection in point clouds using complex YOLOv4 architecture 21
virtual-vehicle/pointcloudset A Python library for analyzing large datasets of 3D point clouds recorded over time in an efficient way. 44
nrel/sup3r Creates synthetic high-resolution spatiotemporal data for renewable energy resources using generative adversarial networks. 87
icetttb/planetr3d An implementation of a deep learning-based method for 3D plane recovery from images. 93