Abstract The main objective of this chapter is to focus on the digital image processing, post-processing, and data integration techniques as applied to remotely sensed data for the purpose of extracting useful earth resources information. Image preprocessing and data reduction tools are described in the previous chapter. The concepts discussed in this chapter include: Image processing techniques such as unsupervised image classifications, supervised image classifications, neural network classifiers, simulated annealing classifiers, and fuzzy logic classification systems The most widely accepted indices and land use/land cover classification schemes Post-processing techniques such as filtering and change detection Accuracy assessment and validation of results Data integration and spatial modeling including examples of integration of remotely sensed data with other conventional survey and map form data for Earth observation purposes
Digital Image Processing: Post-processing and Data Integration
Handbook of Satellite Applications ; 839-864
01.01.2013
26 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Accuracy assessment , Classification schemes , Data and image integration , Digital image processing , Geospatial modeling , Image classification , Image validation , Image visualization , Post-processing , Satellite remote sensing , Spatial modeling Engineering , Aerospace Technology and Astronautics , Applied and Technical Physics , Remote Sensing/Photogrammetry , Computer Systems Organization and Communication Networks , Communications Engineering, Networks , Extraterrestrial Physics, Space Sciences , Digital Image Processing: Post-processing and Data Integration
TIBKAT | 1982
|NTRS | 1976
|Image processing system of digital image processing for digital map making
Europäisches Patentamt | 2020
|Application of LANDSAT data and digital image processing
NTRS | 1978
|