Comparing geometric and radiometric information from GeoEye-1 and WorldView-2 multispectral imagery
نویسندگان
چکیده
منابع مشابه
Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery
Remote sensing technologies have been commonly used to perform greenhouse detection and mapping. In this research, stereo pairs acquired by very high-resolution optical satellites GeoEye-1 (GE1) and WorldView-2 (WV2) have been utilized to carry out the land cover classification of an agricultural area through an object-based image analysis approach, paying special attention to greenhouses extra...
متن کاملGeoEye-1: Analysis of Radiometric and Geometric Capability
The Geoeye-1 satellite, launched in September 2008, is able to acquire imagery in panchromatic mode, with a spatial resolution of 0.41 m at nadir, offering the most powerful way to obtain detailed imagery actually commercially available. The aim of the work is to evaluate the quality of the GeoEye-1 products through radiometric and geometric analysis; the area test is the city of Rome. Radiomet...
متن کاملGeoreferencing from Geoeye-1 Imagery: Early Indications of Metric Performance
GeoEye-1 was launched in September 2008, and after some five months of commissioning commenced commercial operations in February, 2009. With its 0.41m panchromatic and 1.65m multispectral resolution, GeoEye-1 represents a further step along the way to higher resolution capabilities for remote sensing satellites. Given experiences with precise georeferencing from its sister satellite, IKONOS, in...
متن کاملevaluation of geoeye-1 multispectral imagery data and texture analysis for urban scene classification, region 3 of tehran city
introduction the increasing use of satellite remote sensing data for civilian use has proved to be the most cost-effective means of mapping and monitoring for environmental changes. satellite remote sensing has played a pivotal role in finding forest cover, vegetation type and land use changes in urban areas. one of the most complete of these methods is classification. the conventional per-pixe...
متن کاملNeural Network Approach to Water-Stressed Crops Detection Using Multispectral WorldView-2 Satellite Imagery
The paper presents a method for automatic detection and monitoring of small waterlogged areas in farmland, using multispectral satellite images and neural network classifiers. In the waterlogged areas, excess water significantly damages or completely destroys the plants, thus reducing the average crop yield. Automatic detection of (waterlogged) crops damaged by rising underground water is an im...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Remote Sensing
سال: 2014
ISSN: 2279-7254
DOI: 10.5721/eujrs20144741