Ground control for the geometric correction of PAN imagery from Indian remote sensing (IRS) satellites

Effect of Land Control Points Spatial Allocation for the Image Registration of Remote Sensing Images

“…According to researcher precision level, numbers and the geographical allocation of land points influence the correctness and reliable corrected pictures [24,16,37,19,40]. In particular, a number of researchers analyzed the cause of the spatial distribution of land ground control points on the image rectification and registration.…”

“…However, the distribution of ground control points has a enormous effect on the geometric correctness of the satellite image. In a research carried [33,19] which shows that the distribution of land points should be identical in sufficient quantity and exact so it completely controls the accuracy of mapping functions.The differences between sensors, ground resolution, topographic changes and correction methods are responsible for the analysis of uniform standard for land points selection. The aim is to observe the uniformly distributed land ground control points, near the corner of image so that accuracy shall be controlled for mapping of a region or each part of the image.…”

“…The aim is to observe the uniformly distributed land ground control points, near the corner of image so that accuracy shall be controlled for mapping of a region or each part of the image. The points selected are located on the road section, building corners and landmarks and so on as a ground control points [19]. The factors such as surveying work, approach and capability to evaluate the site for GCPs selection.…”

Optimal Ground Control Points for Geometric Correction Using Genetic Algorithm with Global Accuracy

“…Practically no algorithm can achieve good geometric correction results by using poorly-positioned GCPs. An efficient geo-correction system demands positioning sharply-definable ground points on the image: quality in these terms is more important than the quantity of GCPs [Katiyar et al, 2003]. The number of excellent GCPs used on the geometric correction model varies with the method of collection, sensor type and resolution, image spacing, geometric model, study site, physical environment, GCP definition and the final expected accuracy [Toutin, 2004].…”