Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods.
Qiufan LinDominique FouchezJ. PasquetM. TreyerR. Ait OuahmedStéphane ArnoutsO. IlbertPublished in: CoRR (2022)
Keyphrases
- data driven
- test images
- image analysis
- image data
- ground truth
- synthetic and real images
- image set
- input image
- image matching
- three dimensional
- convolutional neural networks
- estimation accuracy
- image features
- image processing
- segmentation algorithm
- multi view
- lighting conditions
- image registration
- image collections
- illumination conditions
- multiscale