Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images.
Luisa Velasquez-CamachoMaddi EtxegaraiSergio de-MiguelPublished in: Comput. Environ. Urban Syst. (2023)
Keyphrases
- satellite images
- high resolution
- man made
- remote sensing
- lidar data
- high resolution images
- learning algorithm
- image database
- image generation
- image analysis
- detection rate
- input image
- low resolution images
- urban areas
- aerial images
- three dimensional
- image data
- test images
- image classification
- low resolution
- machine learning
- change detection
- higher resolution
- aerial imagery
- bounding box
- micro ct
- high frequency
- field of view
- detection algorithm
- edge detection
- computer vision
- image processing
- image retrieval
- segmentation method
- hierarchical data structure
- quantitative measurements
- lower resolution
- traffic signs
- image features
- image registration
- pixel level
- segmentation algorithm
- training set
- object recognition
- high quality
- imaging sensors
- sonar images