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Extracting multi-features and optimizing feature space with sparse auto-encoder over WorldView-2 images
- Source :
- International Journal of Remote Sensing. 40:6418-6443
- Publication Year :
- 2019
- Publisher :
- Informa UK Limited, 2019.
-
Abstract
- Feature selection of very high-resolution (VHR) images is a key prerequisite for supervised classification. However, it is always difficult to acquire the features which have the highest correlatio...
- Subjects :
- 010504 meteorology & atmospheric sciences
business.industry
Computer science
Feature vector
0211 other engineering and technologies
Pattern recognition
Feature selection
02 engineering and technology
01 natural sciences
Autoencoder
Key (cryptography)
General Earth and Planetary Sciences
Artificial intelligence
business
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 13665901 and 01431161
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- International Journal of Remote Sensing
- Accession number :
- edsair.doi...........066820c3c6df7fc19af09940c5edbd9d
- Full Text :
- https://doi.org/10.1080/01431161.2019.1594431