نتایج جستجو برای: satellite images

تعداد نتایج: 331521  

Journal: :Eurasian Journal of Science and Engineering 2017

2014
Suganya Menaka

In recent years, the use of remote sensed satellite images applications has increased rapidly. Remote sensing applications include monitoring deforestation in areas such as the Amazon Basin, glacial features in Arctic and Antarctic regions, and depth sounding of coastal and ocean depths.Image segmentation is used for analyzing function in imageProcessingand analysis.Image segmentation technique...

2013
Satya savithri Murali Krishna

We investigated the Classification of satellite images and multispectral remote sensing data .we focused on uncertainty analysis in the produced land-cover maps .we proposed an efficient technique for classifying the multispectral satellite images using Support Vector Machine (SVM) into road area, building area and green area. We carried out classification in three modules namely (a) Preprocess...

2008
Imed Riadh Farah Wassim Messaoudi Karim saheb ettabâa Basel Solaiman

With the rapid development of remote sensing platform and sensor technique, the amount of satellite images has frequently increased. In order to analyze, manage and retrieve spatial information, several techniques are used to improve the quality of retrieval systems and to perform semantic in the retrieval process. In this paper, we propose an ontology-based approach for semantic retrieving of ...

2017
D. Chandraprakash M. Narayana

In the last decade we witnessed a large increase in data generated by earth observing satellites. But today Satellite Image Retrieval is a big issue to discuss. There is huge amount of research work focusing on the retrieving of images in the image database. One of the most important steps in earlier stages of satellite image processing is cloud detection. Therefore, the satellite cloud images ...

A. R. Bahmanzadegan, F. Azarsina K. Lari M. R. Fatemi

Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

Journal: :Procedia - Social and Behavioral Sciences 2011

2009
Gao Qiong Ran Bing Zhang Yaobin Zhiyong Wang

Due to the conflict between increasing amount of data and restricted downlink transfer rate, onboard compression of satellite images before downloading has become an inevitable procedure. Striping noise is an inherent factor that exists in the acquired satellite images, thus, for the onboard image compression, the impact of striping noise has to be considered. Image compression is based on cont...

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