Fully automatic generation of geoinformation products with chinese zy‐3 satellite imagery

Abstract

The advantages of continuously and soundly obtaining large multidimensional, multiscale and multitemporal observation datasets from satellite remote sensing make it indispensable in building a national spatial data infrastructure. This paper introduces the ZY-3 satellite developed in China and discusses a fully automatic data-processing system to generate geoinformation products, such as digital elevation models (DEMs) and digital orthophotomaps (DOMs), based on ZY-3 imagery. The key technologies of automatic geoinformation product generation, including strip image-based bundle adjustment together with creating DEMs and DOMs, are illustrated. The accuracies of the georeferencing and automatically generated geoinformation products are also discussed. This automatic dataprocessing system is shown to provide a good foundation for near real-time derivation of such geoinformation products and for the promotion and application of Chinese domestic satellites.

In‐orbit geometric calibration and validation of ZY‐3 three‐line cameras based on CCD‐detector look angles

“…Comparable results were achieved by Y. Zhang et al (2014a) in the context of producing digital elevation models and digital orthophotomaps. Y.…”

Matching Confidence Constrained Bundle Adjustment for Multi-View High-Resolution Satellite Images

“…However, the matching of {p, p } may suffer from some geometric distortions (e.g., scale, rotation), which reduces the accuracy of the matching confidence evaluation. To reduce these geometric distortions, we resample all satellite images by projecting them on a common height plane before the matching confidence computation [28]. Matching results in textured regions are often reliable and the corresponding ZNCC curved surface in Figure 2a has an obvious peak (the maximum ZNCC value).…”

An Interoperable Cloud Based Geoportal for Discovery and Managment of Earth Observation Products

“…Also, the information can be retrieved directly from geospatial databases, the metadata is parsed extracting the image information and stored in a database [12]. Geoportals also exhibit derivative products [4,13] from satellite imagery, which add value to raster images and provide more information to the end-user [14].…”

“…Cloud/cluster storage services) for other systems to acquire these products. In manufacturing [4] stage the preserved products are used to create new EOPs that are indexed by geoportals and made available to other services.…”