This study presents a new visualisation tool for classification of satellite imagery. Visualisation of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications as the user can be involved in the classification process providing increased confidence in and u...

This themed issue focuses on the cultural meanings and spatial politics of high-resolution satellite imagery, critically examining how the burgeoning use of these data is radically reshaping the ways different groups comprehend space and place. Orbiting high overhead are a scatter of small, but very costly, satellites designed to produce streams of visual spatial representations of the ground b...

The wealth of satellite imagery [1] available in web mapping service applications such as Google Maps, which now provides high-resolution satellite images from many locations around the Earth, has opened the appealing perspective of performing classification and retrieval tasks via programming libraries such as SwingX-WS. In fact, the introduction of Google’s mapping engine prompted a worldwide...

cially in homogeneous, even-aged plantation scenarios. Airborne imagery has mainly been used for detection of individual trees using local maxima filtering, as point spread function and signal-to-noise ratio are smaller than with satellite-borne imagery. This led to the development of a novel approach to local maxima filtering for tree detection in plantation forests in KwaZulu-Natal, South Afr...

Researchers have not yet devoted sufficient attention to the effect of prison architecture on inmate misconduct. Using data from the population of male prisoners in Texas, the authors explored the association between two prison architectural design types (as determined by satellite imagery) and inmate misconduct. The results from multilevel statistical analyses suggest that architectural design...

the purpose of our research is to improve navigation capabilities of an Unmanned Ground Vehicle (UGV) by increasing its perception range utilizing aerial or satellite imagery. We propose an adaptive system that consists of an image classifier, cost map generator and path planner, which is used for long-term path planning using overhead imagery.

The United States National Ice Center (NIC) provides weekly ice analyses of the Arctic and Antarctic using information from ice reconnaissance, ship reports and high-resolution satellite imagery. In cloud-covered areas and regions lacking imagery, the higher-resolution sources are augmented by ice concentrations derived from Defense Meteorological Satellite Program (DMSP) Special Sensor Microwa...

A Markov random field (MRF) based method using both contextual information and multiscale fuzzy line process for classifying remotely sensed imagery is detailed in this paper. The study area known as Elkhorn Slough is an important natural reserve park located in the central California coast, USA. Satellite imagery such as IKONOS panchromatic and multispectral data provides a convenient way for ...