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Special Issue on Image Optimization in Remote Sensing

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Journal of Remote Sensing (ISSN 2072-4292). 2017 Impact Factor: 3.406 (Journal Citation Reports)
Dear Colleagues,

Remote sensing is defined as the science of analyzing and monitoring physical characteristics of an area with the measurement of its reflected or emitted radiation. Typically, remote sensing information is obtained from airplanes or satellites at a great distance from the surface of the earth, enabling regular monitoring of land, ocean, and atmospheric conditions for multiple applications, such as mineralogy, biology, defense, and environmental preservation.

The data acquired for remote sensing can be represented in the form of images to make its analysis easier. However, such images present interesting characteristics such as a high spectral-spatial-temporal resolution, and multiple channels that provide valuable information independently or all together. These facts generate a big amount of information that must be properly and accurately analyzed. Some of the issues related to images from remote sensing applications can be treated as optimization problems. Thus, the necessity to design and implement optimization methods that possess a superior performance on the search for optimal solutions for remote sensing applications arises.

This special issue concerns the implementation and development of optimization techniques able to find the best solutions for processing remote sensing images. In general, in this special issue the latest advances and trends of optimization algorithms for remote sensing image processing will be presented, addressing original developments, new applications, and practical solutions to open questions. The aim is to increase the data and knowledge exchange between the optimization and remote sensing communities and allow experts from other areas to understand the inherent problematics of remote sensing. Moreover, authors are encouraged to present hybrid methods that might include the use of machine learning approaches.

The topics for this Special Issue include, but are not limited to, the following:

3D radar and 3D sonar imaging
Sonar image processing, data reduction, feature extraction, and image understanding
Interferometric methods
Sparse image reconstruction
Hyperspectral images
Object extraction and accuracy evaluation in 3D reconstruction
Satellite images
Surveillance systems
Multi-sensor data fusion
Image segmentation
Multilevel thresholding
Clustering
Metaheuristic Algorithms
Classical optimization techniques
Hybrid optimization mechanisms
Machine learning
Fuzzy logic approaches
Neural computing
Evolutionary computation
Multi-objective optimization
Many-objective optimization
Hyper-heuristics
Heuristics
Swarm algorithms
Feature selection
Dr. Diego Oliva
Dr. Salvador Hinojosa
Dr. Mohamed Abd Elaziz
Dr. Ahmed A. Ewees
Guest Editors

More information: www.mdpi.com/si/22269

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Special Issue on Image Optimization in Remote Sensing "Don D." <kidaol@gmail.com> - 2019-04-16 22:28 -0700

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