1 option
Deep learning methods for remote sensing / Moulay A. Akhloufi, Mozhdeh Shahbazi.
- Format:
- Book
- Author/Creator:
- Akhloufi, Moulay A., author.
- Shahbazi, Mozhdeh, author.
- Language:
- English
- Subjects (All):
- Environmental sciences.
- Physical Description:
- 1 online resource (344 pages)
- Place of Publication:
- Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2022.
- Summary:
- Remote sensing is a field where important physical characteristics of an area are exacted using emitted radiation generally captured by satellite cameras, sensors onboard aerial vehicles, etc. Captured data help researchers develop solutions to sense and detect various characteristics such as forest fires, flooding, changes in urban areas, crop diseases, soil moisture, etc. The recent impressive progress in artificial intelligence (AI) and deep learning has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently in multiple areas, among them remote sensing. This book consists of sixteen peer-reviewed papers covering new advances in the use of AI for remote sensing.
- Notes:
- Description based on online resource; title from PDF title page (3-0365-4629-4, viewed June 25, 2023).
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.