Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests.
Rajat C. ShindeSurya S. DurbhaPublished in: Remote. Sens. (2023)
Keyphrases
- compressed sensing
- lidar data
- image reconstruction
- sparse representation
- random projections
- sparse coding
- natural images
- compressive sampling
- hyperspectral imagery
- urban areas
- orthogonal matching pursuit
- three dimensional
- point cloud
- signal processing
- high resolution
- computer vision
- d scene
- super resolution
- higher order
- urban environments
- fourier domain
- feature extraction
- structure from motion
- image data
- compressive sensing
- pattern recognition
- high quality