Unsupervised Spatial Feature and Change Detection in RS Imaging

Abstract

Most of our work since the last interim report was spent on studying necessary adaptations of the software to various operational requirements, assisted by data runs to suggest their use, and studying and assessing recent statistical and neural theoretical developments for possible application. Main activities continued: (1) requirements analysis for development of prototype into a system for operational use; (2) re-designing the basic methodology implemented by the system, involving a clear separation of the main methodological elements; (3) differentiating project pursuit classification and pixel blending within classes; (4) conserving inspection mode to facilitate selecting (sub) classes and regions in a; (5) classified image for further analysis; and (6) continue study of spectral de-mixing, within (sub) classes, using RBF neural network technology.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1999
Accession Number
ADA372455

Entities

People

  • R. J. Mokken

Organizations

  • University of Amsterdam

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence Software
  • Blending
  • Change Detection
  • Classification
  • Contracts
  • Data Management
  • Data Science
  • Detection
  • Environmental Monitoring
  • Image Classification
  • Mixing
  • Network Science
  • Neural Networks
  • Prototypes
  • Remote Sensing
  • Unsupervised Machine Learning

Readers

  • Neural Network Machine Learning.
  • Software Engineering
  • Systems Analysis and Design

Technology Areas

  • AI & ML