Special Issue "The Quality of Remote Sensing Optical Images from Acquisition to Users"
Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 41595
Interests: image and signal processing; image quality; image compression; hyperspectral and multispectral image processing and analysis; color management; restoration; image noise estimation; MTF estimation; data fusion; pansharpening; hypersharpening
The need of observing and characterizing the environment leads to constant increase of the spatial, spectral and radiometric resolution of the new optical sensors. Recently, due to the commissioning of constellation of satellites, also the revisiting time of the sites is reducing so that multi-temporal analysis is becoming widespread. Furthermore, the availability of many acquisition systems opens the way to multisensors analysis.
The key idea behind this special issue is presenting the latest research results and outcomes about processing of optical remote sensing data embracing all the specific topics that impact on the quality of the data.
Remote sensing images, in fact, are acquired to satisfy the needs of the users. In this perspective, the quality of the images is the degree to which the set of their characteristics fulfils those needs. Clearly, the quality of the images provided to users does not only depends on the characteristics of the data acquired but also on the chain that processes the images. Each algorithm and methodology of the processing chain has an impact on the quality of the data; it can, in fact, preserve, improve or unfortunately degrade the quality of the acquisition.
The scope of this special issue considers not only the topics that usually deal with quality but methods that produce data having "more quality" for satisfying the users' needs. Therefore, this special issue regards such topics as atmospheric correction and data fusion that are usually not treated together.
The expected contributions also concerns innovative indexes to assess the quality of the images in relationship with the needs of specific users.
To sum up, this special issue takes an overall view on the workflow from the acquisition to the users. It welcomes contributions having the focus on the quality of the optical remote sensing data and includes, without being limited to, the following subjects:
*Lossy and lossless compression with focus on multispectral and hyperspectral data.
*Instrument characterization, data correction and validation of up-to-date optical sensors.
*Advanced methodologies for atmospheric correction.
*Geometric correction and co-registration for data acquired by innovative platform also including UAV.
* Advanced restoration methodologies based on blind and model-based approaches.
*Up-to-date denoising techniques based on specific noise modelling.
*Pansharpening and data fusion for multispectral and hyperspectral data
Dr. Massimo Selva
Manuscript Submission Information
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- Acquisition system
- Image processing
- Image quality
- Optical data
- Remote sensing