Pixel-Based Image Compositing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 7468
Special Issue Editor
Special Issue Information
Dear Colleagues,
Pixel-based image compositing algorithms exploit pixel properties (e.g., location and spectral information) aiming to create spatially-contiguous image composites across large areas. The goal is to create high-quality, noisy-free, and consistent datasets to support a wide range of applications based on remote sensing imagery. Examples of applications, which often benefit from the use of image composites, include land cover mapping, land use modeling, change detection and understanding, ecosystem monitoring, and urban planning.
Despite the huge progress in the area in the past decades with regard to the development of effective algorithms and models for pixel-based image composition, the generation of high-quality images to be used in such applications is still a cumbersome task. Common challenges include: Cloud, haze, and aerosol contamination; proper handling of boundary artifacts; lack of consistency across different bands; inexistence of methods to define suitable composite period lengths; lack of efficient algorithms for dealing with massive datasets.
The overarching goal of this Special Issue is to present state-of-the-art research outcomes in pixel-based image compositing, focusing on both novel effective and efficient algorithms, and existing needs in emerging applications and case studies.
Prof. Ricardo da Silva Torres
Guest Editor
Manuscript Submission Information
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Keywords
- Rule-based and statistical methods
- Multicriteria pixel selection algorithms
- Machine learning for pixel-based image compositing
- Efficient and scalable algorithms
- Performance evaluation and benchmark datasets
- Pixel-based image compositing for UAV aerial imagery
- Emerging applications and case studies
