A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
A review of machine learning in processing remote sensing data for mineral exploration
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …
different minerals in recent years has led exploration geologists to look for more efficient and …
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
Visualizing geospatial information uncertainty: What we know and what we need to know
Develo** reliable methods for representing and managing information uncertainty
remains a persistent and relevant challenge to GIScience. Information uncertainty is an …
remains a persistent and relevant challenge to GIScience. Information uncertainty is an …
[BOOK][B] Uncertainty in geographical information
J Zhang, MF Goodchild - 2002 - books.google.com
As Geographic Information Systems (GIS) have developed and their applications have been
extended, the issue of uncertainty has become increasingly recognized. It is highlighted by …
extended, the issue of uncertainty has become increasingly recognized. It is highlighted by …
Remote sensing of ecosystem services: A systematic review
Appropriate integration of remote sensing technologies into ecosystem services concepts
and practices leads to potential practical benefits for the protection of biodiversity and the …
and practices leads to potential practical benefits for the protection of biodiversity and the …
[PDF][PDF] Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications
While remote sensing has made enormous progress over recent years and a variety of
sensors now deliver medium and high resolution data on an operational basis, a vast …
sensors now deliver medium and high resolution data on an operational basis, a vast …
Causes and consequences of error in digital elevation models
All digital data contain error and many are uncertain. Digital models of elevation surfaces
consist of files containing large numbers of measurements representing the height of the …
consist of files containing large numbers of measurements representing the height of the …
Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data
X Zhang, S Du, Q Wang - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
As the basic units of urban areas, functional zones are essential for city planning and
management, but functional-zone maps are hardly available in most cities, as traditional …
management, but functional-zone maps are hardly available in most cities, as traditional …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …