We use the complex logarithm as a transformation for the visualization and navigation of highly complex satellite and aerial imagery. The resulting depictions show details and context with greatly different scales in one seamless image while avoiding local distortions. We motivate our approach by showing its relations to the ordinary perspective views and classical map projections. We discuss h...

Human perception of an image's conspicuity depends on the stimulus itself and the observer's semantic interpretation. We investigated the relative contribution of the former, sensory-driven, component. Participants viewed sequences of images from five different classes-fractals, overhead satellite imagery, grayscale and colored natural scenes, and magazine covers-and graded each numerically acc...

Hyperspectral Imagery Sensing (HIS) is widely gained tremendous popularity in many research areas such as remotely sensed satellite imaging and aerial reconnaissance. HIS is an important technique with the measurement, analysis, and interpretation of spectra acquired sensing scene an airborne or satellite sensor. The development of sensor technology brought the developing of collecting image da...

The Images obtained through remote sensing systems are not often sufficient for high precision applications due to various distortions. The distortions can be due to errors like geometric errors, etc. Also multi-date satellite images of the same area under different conditions are difficult to compare because of change in atmospheric propagation, sensor response and illuminations. Keeping these...

Two examples are shown of remote sensing data applications for integrated models of separate spheres of the Earth. Innovative techniques of vegetation biomass amount assessment using multispectral satellite imagery is given in the first example. Problems of temporal data series analysis for information products of satellite data processing using a gridded data representation to understand predi...

“Fundamentals of Satellite Remote Sensing: An Environmental Approach” by Emilio Chuvieco introduces remote sensing data as a valuable source of information in understanding our environment. The second edition of this book aims to describe sources of available remote sensing data and how this data can be exploited as a key piece of information in environmental applications. Chuvieco focuses on p...

satellite data have been used for temperature modeling both in urban areas and water. this paperstudies viability of aster satellite images that provide high spatial and spectral resolution to model watersurface temperature, as a fundamental water quality parameter. this study is focused on dez dam reservoirresiding in khuzestan province, south west of iran. after the image corrections required...

the study on water level fluctuation in the urmia lake has become of a great importance in recent years. this is due to the importance of the position of this lake as a natural heritage at an international level. the water level decrease at the urmia lake during the recent years has made it necessary to address the matter more than before. investigation and assessment of changes in the lake is ...

satellite imagery was used as a rapid and spatially explicit method to delineate crop residue cover and to estimate the use and intensity of conservation tillage. the potential of multispectral high-spatial resolution of worldview-2 local data was evaluated using 11 satellite spectral indices and linear spectral unmixing analysis (lsua). experimental plots were examined; residue cover was measu...