GeoCDX: An Automated Change Detection & Exploitation System for High Resolution Satelite Imagery

Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA). Part 1: Introduction

“…Firstly, cost-free access to large-scale low spatial resolution (SR) (above 40 m) and medium SR (from 40 to 20 m) spaceborne image databases has become a reality in line with the GEO vision [1,2,[36][37][38][39][40]. Secondly, the demand for high SR (between 20 and 5 m) and very high SR (VHR, below 5 m) commercial satellite imagery has continued to increase in terms of data quantity and quality, which has boosted the rapid growth of the commercial VHR satellite industry [40].…”

“…Firstly, cost-free access to large-scale low spatial resolution (SR) (above 40 m) and medium SR (from 40 to 20 m) spaceborne image databases has become a reality in line with the GEO vision [1,2,[36][37][38][39][40]. Secondly, the demand for high SR (between 20 and 5 m) and very high SR (VHR, below 5 m) commercial satellite imagery has continued to increase in terms of data quantity and quality, which has boosted the rapid growth of the commercial VHR satellite industry [40]. Thirdly, an increasing number of ongoing international research projects aims at developing operational capabilities and services that require harmonization and interoperability of EO data and derived geo-spatial information products generated from a variety of spaceborne imaging sensors at global, regional and local scales [1].…”

Information mining from human visual reasoning about multi-temporal, high-resolution satellite imagery

“…Given the capability of gaze tracking to identify objects of interest, we seek to understand various users' analyses of satellite imagery by comparing the results of tracking their eye movement with change detection results using the GeoCDX system (Sjahputera et al 2008(Sjahputera et al , 2011. For the purposes of the experiments performed in this work, we use the per-pixel change confidence value produced by GeoCDX.…”

“…By extending the work proposed by Agrawal et al (1993), this technique allows us to measure the strength of the relationships present in a dataset of pixel values. The result is a list of rules which indicate the frequency with which a user attends various stimuli as described by the features extracted from the GeoCDX system (Sjahputera et al 2008(Sjahputera et al , 2011. Interpretation of these rules provides evidence for subject behaviours with respect to the changes in the imagery.…”

Vision Goes Symbolic Without Loss of Information Within the Preattentive Vision Phase: The Need to Shift the Learning Paradigm from Machine-Learning (from Examples) to Machine-Teaching (by Rules) at the First Stage of a Two-Stage Hybrid Remote... Part I

“…In recent years the objective of developing operational satellite-based measurement systems has become increasingly urgent due to multiple drivers. While cost-free access to large-scale low spatial resolution (SR) (above 40 m) and medium SR (from 40 to 20 m) spaceborne image databases has become a reality (GEO, 2005;GEO, 2008a;GEO, 2008b;Gutman et al, 2004;Sart et al, 2001;Sjahputera et al, 2008), in parallel, the demand for high SR (between 20 and 5 m) and very high SR (VHR, below 5 m) commercial satellite imagery has continued to increase in terms of data quantity and quality, which has boosted the rapid growth of the commercial VHR satellite industry (Sjahputera et al, 2008). In this scientific and commercial context an increasing number of on-going international research projects aim at the development of operational services requiring harmonization and interoperability of Earth observation (EO) data and derived information products generated from a variety of spaceborne imaging sensors at all scalesglobal, regional and local.…”