Advanced deep learning based multi-temporal remote sensing image analysis
Multi-temporal image analysis has been widely used in many applications such as urban monitoring, disaster management, and agriculture. With the development of the remote sensing technology, the new generation remote sensing satellite images with High/ Very High spatial resolution (HR/VHR) are now...
Main Author: | Saha, Sudipan |
---|---|
Other Authors: | Bovolo, Francesca |
Format: | Doctoral Thesis |
Language: | English |
Published: |
Università degli studi di Trento
2020
|
Subjects: | |
Online Access: | http://hdl.handle.net/11572/263814 |
Similar Items
-
Knowledge Extraction from Biomedical Literature with Symbolic and Deep Transfer Learning Methods
by: Ramponi, Alan
Published: (2021) -
Neural Speech Translation: From Neural Machine Translation to Direct Speech Translation
by: Di Gangi, Mattia Antonino
Published: (2020) -
An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images
by: Jingtao Li, et al.
Published: (2021-12-01) -
Application of avalanche detectors in scientific and industrial measurement systems
by: Ficorella, Andrea
Published: (2019) -
Using Vehicle Synthesis Generative Adversarial Networks to Improve Vehicle Detection in Remote Sensing Images
by: Kun Zheng, et al.
Published: (2019-09-01)