Modification of filters of multispectral raster images to solve the problem of remote probing

Abstract

Methods of remote Еarth probing (REP) is widely used to solve various problems. There are areas of application of remote sensing: the search of minerals, information on the environment, assessing the state, the study of ecosystems and their diversity, hydrography, evaluation of consequences of natural disasters. There are more than 20 companies in the world involved in REP tasks, including: Jeppesen, Trimble, ArcGis, GeoGude, Spectra Precision.Modern remote Earth probing devices from high-flying carriers capture images in the visible and infrared ranges. Altogether brightness distribution of corresponding images form multidimensional geometric object – multispectral image (MSI), the components of which give the spatial form and physical condition of recorded material objects.The main method of reducing the dimension MSI presented in this format, currently are the filtering of multiple components, which leads to the approximation of the brightness distribution of the source bitmap set of graphics primitives.The task of increasing of remote probing image information content in each case requires individual approach to images using the combined information processing algorithms, since there is no universal approach that would be able to provide a high level descramble condition of such images.To solve the problem of remote probing, namely providing high information content and precision there is lack of universal tool (filtration method) that would be able to provide a high level of ability to search the selected unit (airport, car, coastline) regardless of the angle, the picture quality of the original image and computing power. Currently almost all the problems related to information content and accuracy is a heuristic task that requires an individual approach to each shot.Studies on the example of airport ESSA (Stockholm) provided by Jeppesen (USA) showed that after addition of local filtering methods using selective smoothing, improved signal/noise ratio (decreased effect of analog noise) and blur the contours of the object has almost no effect on the information content, which increased the distinctive ability and made it possible to clearly identify the object (runway).Analysis and modification of existing filters and correction of existing search methods for increasing information content of multispectral raster images (search of small object) based on filtering polychromatic shades and brightness thresholds.The use of modified filters and search methods made it possible to create a software product, which greatly improved the images descramblecondition, making it possible to differentiate small objects that cannot be seen on the original images, and select objects with thermal anomalies and objects which slightly differ in color in the visible range on the original images.