Abstract
The viewing and sharing of remote sensing optical imagery through the World Wide Web is an efficient means for providing information to the general public and decision makers. Since clouds and hazes inevitably limit the contrast and deteriorate visual effects, only cloudless scenes are usually included and presented in existing web mapping services. This work proposes a level-of-detail (LOD) based enhancement approach to present satellite imagery with an adaptively enhanced contrast determined by its viewing LOD. Compared to existing web mapping services, this new approach provides a better visual effect as well as spectral details of satellite imagery for cases partially covered with clouds or cirrocumulus clouds. The full archive of global satellite imagery, either the existing one or the one collected in the future, can be utilized and shared through the Web with the processing proposed in this new approach.
Highlights
Exchanging geospatial information and large amounts of remote sensing imagery through the World Wide Web is an efficient approach to providing such information to the general public and decision makers
An innovative approach called levels of detail (LOD)-based enhancement is proposed to present satellite imagery with an adaptively enhanced contrast determined by its viewing LOD
Instead of making a scene-to-scene comparison with images shown in published papers that have not been implemented in a fully operated system, results of the LOD-based enhancement approach are compared directly to the same images provided by existing web mapping services to demonstrate superior visual quality, including BigGIS
Summary
Exchanging geospatial information and large amounts of remote sensing imagery through the World Wide Web is an efficient approach to providing such information to the general public and decision makers. Since everyone around the world can freely access these platforms via a web browser without purchasing or installing expensive software, there is an increasing number of data owners who would like to distribute their geospatial data or remote sensing optical imagery through these systems. To share such data through the World Wide Web, one important common procedure is to convert a large remote sensing image to a set of pyramid tiles, referred to as a superoverlay. It should be noted that these tiles can be distributed and browsed via devices including mobile phones, tablets, and desktop computers as well
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