This Image processing plays a vital role in complex image manipulation and understanding more feasible. it can be used either in a general manner or in specific domains such as medical, satellite. But we are facing the problem in unconnected image processing .Software, the article proposes a web based on line image processing software architecture with excellent edge detection algorithm.. in th...

Pictures are the most effective means of conveying information. A picture is worth a thousand words. Pictures concisely convey information about positions, sizes and interrelationships between objects. Human beings are good at deriving information from such images, because of our innate visual and mental abilities. About 75% of the information received by human is in pictorial form. The paper d...

Image segmentation is the most practical approach among all virtually automated image recognition systems. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. This paper deals with different image segmentation algorithms. The quality of satellite image is affected by atmosphere, temperature etc. ...

Large amounts of spatial data are becoming available today due to the rapid development of remote sensing techniques. Several retrieval systems are proposed to retrieve necessary, interested and effective information such as keyword based image retrieval and content based image retrieval. However, the results of these approaches are generally unsatisfactory, unpredictable and don’t match human ...

We assessed the consistency across space and time of spatially explicit models of forest presence and biomass in southern Missouri, USA, for adjacent, partially overlapping satellite image Path/Rows, and for coincident satellite images from the same Path/Row acquired in different years. Such consistency in satellite image-based classification and estimation is critical to national and continent...

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...

From the immense amount of images being sent to Earth by satellites, it takes too much time for a human to go through each image and classify what the image represents. Therefore, we are able to use classifiers to classify these images. In this paper, we used two different classification methods to classify satellite images. Between the two classifiers we used, both K-Nearest-Neighbor and Suppo...

Small satellites have limited payload and their attitudes are sometimes difficult to determine from the limited onboard sensors alone. Wrong attitudes lead to inaccurate map projections and measurements that require post-processing correction. In this study, we propose an automated and robust scheme that derives the satellite attitude from its observation images and known satellite position by ...

Abstract—Image mining is a used to mining the images for the extraction of knowledge. Different types of satellite images contain earlier prediction of forecasting weather & their important information. Several works has been done on Satellite image mining, databases are used to store the images & query image technique is used to retrieve the images. The technique used Content Based Image Retri...

Remote sensing data provides much essential and critical information for monitoring many applications such as image fusion, change detection and land cover classification. This paper proposed about the classification and extraction of spatial features in urban areas for high resolution multispectral satellite image. Spectral information is the foundation of remotely sensed image classification....