Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks.
Imen ChebbiNedra MellouliImed Riadh FarahMyriam LamollePublished in: Big Data Cogn. Comput. (2021)
Keyphrases
- remote sensing
- deep learning
- image classification
- unsupervised feature learning
- multispectral
- change detection
- remote sensing images
- remotely sensed data
- feature extraction
- remote sensing imagery
- automatic image registration
- image features
- hyperspectral
- satellite images
- satellite imagery
- remote sensing data
- image processing
- high resolution
- image analysis
- remotely sensed
- feature vectors
- remotely sensed images
- information extraction
- data sets
- remote sensed images
- satellite data
- earth observation
- digital image analysis
- bag of words
- earth science
- unsupervised learning
- co occurrence
- machine learning
- land cover
- automatic extraction
- visual words
- sparse representation
- infrared
- d objects
- image data
- active learning
- multiscale
- neural network