We describe VisiMine, a system for data mining and statistical analysis of large collections of remotely sensed images.

We used remotely sensed data and geographical information systems (GIS) to categorize habitats, then determined the relationship between remotely sensed habitat categorizations and species distribution patterns. Three forest types and sixmeadow types in the Greater Yellowstone Ecosystem, USA, were classi® ed using Landsat TM data. All plant species with 5% cover or greater, 31% of the butter ̄ y...

This study illustrates how remotely-sensed data and GIS can be utilized to allow planners to evaluate the relationship between land use, environmental protection policies, and resource availability. The case study examines St. Tammany Parish in Louisiana which has experienced tremendous population growth and land use change in the past two decades. To date, work has been completed on developing...

Segmentation algorithms have already been recognized as a valuable and complementary approach that similar to human operators perform a region-based rather than a point-based evaluation of high-resolution and multi-source remotely sensed data. Goal of this paper is to summarize the state-of-the-art of respective segmentation methods by describing the underlying concepts which are rather complex...

Digital classification methods of remotely sensed images have acquired a growing importance in the automatic recognition of the land cover patterns. The enormous quantity of images that are being generated from an increasing number of highly sophisticated sensor systems require the development of innovative classification methodologies, which allow an automatic and efficient detection of the gr...

We describe usage of DEM data in the VisiMine system for data mining and statistical analysis of the collections of remotely sensed images.

Association rule mining is one of the most important problems of data mining. Since remotely sensed data contains huge amounts of information, it’s a very potent area to discover useful rules. Compared to traditional Market “basket data”, remote sensed imagery has specific characteristics and also presents specific difficulties. Two problems need to be solved to apply association rule mining on...

This study illustrates how remotely-sensed data and GIS can be utilized to allow planners to evaluate the relationship between land use, environmental protection policies, and resource availability. The case study examines St. Tammany Parish in Louisiana which has experienced tremendous population growth and land use change in the past two decades. To date, work has been completed on developing...