Multitemporal Earth observation image analysis : remote sensing image sequences /
coordinated by Clément Mallet, Nesrine Chehata.
- 1 online resource
- Sciences. Image. Information seeking in images and videos .
Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies. Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copernicus programme) or archival aerial images available in national archives. The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications.
9781789451764 9781394306657 1394306652 9781394306633 1394306636 9781394306640 1394306644
CIPO000116582
9781789451764 O'Reilly Media
GBC489834 bnb
300209954 Uk
Remote-sensing images.
Images-satellite.
Image Processing.
COMPUTERS.
TECHNOLOGY & ENGINEERING.
Remote Sensing & Geographic Information Systems.
Image Processing.
COMPUTERS.
TECHNOLOGY & ENGINEERING.
Electronic books.
G70.4 / .M85 2024
Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies. Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copernicus programme) or archival aerial images available in national archives. The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications.
9781789451764 9781394306657 1394306652 9781394306633 1394306636 9781394306640 1394306644
CIPO000116582
9781789451764 O'Reilly Media
GBC489834 bnb
300209954 Uk
Remote-sensing images.
Images-satellite.
Image Processing.
COMPUTERS.
TECHNOLOGY & ENGINEERING.
Remote Sensing & Geographic Information Systems.
Image Processing.
COMPUTERS.
TECHNOLOGY & ENGINEERING.
Electronic books.
G70.4 / .M85 2024