RANDOM NOISE ASSESSMENT IN AERIAL AND SATELLITE IMAGES

Automatic Extraction of Roads from High Resolution Aerial and Satellite Images with Heavy Noise

Aerial and satellite images are information rich. They are also complex to analyze. For GIS systems, many features require fast and reliable extraction of roads and intersections. In this paper, we study efficient and reliable automatic extraction algorithms to address some difficult issues that are commonly seen in high resolution aerial and satellite images, nonetheless not well addressed in ...

Cloud Extraction and Removal in Aerial and Satellite Images

Roads Extraction and Mapping from Aerial and Satellite Images

Automatic man-made objects detection from aerial and satellite images be a very important research field to understand the changes in our environment and gives an important source of information to be used in many fields as an infrastructure, mapping generation, planning traffics and cartographic. This study describes and evaluates an automated method for roads extraction and mapping. For roads...

Automating Image Map Generation Using Satellite Images and Aerial Photos

Image maps generated using satellite images and aerial photos are extremely useful. The map can provide detailed topographic, land-use and land-cover information on earth. With the growing number of satellite and aerial photo data, a technique which can generate/update maps automatically from satellite images and aerial photos is necessary. This paper presents a technique developed at PCI Geoma...

Comparative Assessment of Very High Resolution Satellite and Aerial Orthoimagery

This paper aims to assess the accuracy and radiometric quality of orthorectified high resolution satellite imagery from Pleiades-1B satellites through a comparative evaluation of their quantitative and qualitative properties. A Pleiades-B1 stereopair of high resolution images taken in 2013, two adjacent GeoEye-1 stereopairs from 2011 and aerial orthomosaic (LSO) provided by NCMA S.A (Hellenic C...