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.
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
protontypes/open-sustainable-technologyRelated 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. | 29 |
 rentadronecl/photovoltaic_fault_detector | An application that uses deep learning to detect faults in photovoltaic panels using thermal infrared images. | 42 |
 v2ai/det3d | A general-purpose 3D object detection codebase that supports multiple algorithms and datasets | 1,507 |
 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 | 141 |
 sandialabs/pvops | A suite of tools for analyzing photovoltaic energy system data | 17 |
 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 | 1,044 |
 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. | 170 |
 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 | 22 |
 virtual-vehicle/pointcloudset | An efficient analysis tool for large point cloud datasets recorded over time | 44 |
 nrel/sup3r | Creates synthetic high-resolution spatiotemporal data for renewable energy resources using generative adversarial networks. | 88 |
 icetttb/planetr3d | An implementation of a deep learning-based method for 3D plane recovery from images. | 94 |