Satellite image classification process involves grouping the image pixel values into meaningful categories. Several satellite image classification methods and techniques are available. Satellite image classification methods can be broadly classified into three categories 1) automatic 2) manual and 3) hybrid. All three methods have their own advantages and disadvantages. Majority of the satellite image classification methods fall under first category. Satellite image classification needs selection of appropriate classification method based on the requirements. The current research work is a study on satellite image classification methods and techniques. The research work also compares various researcher’s comparative results on satellite ima...
Two common techniques for classifying satellite imagery are pixel-based and Feature extraction image...
Satellite image classification is crucial in various applications such as urban planning, environmen...
ABSTRACT: Land cover classification from satellite imagery provides base data for planning activiti...
ABSTRACT An overall performance comparison was delineated in this paper between the two most common...
The classification of historical maps has become a crucial task in today's rapidly changing landscap...
Remote Sensing is a multi-disciplinary technique for image acqui-sition and measurement of informati...
A study has been carried out of 15 years of published peer-reviewed experiments on satellite image c...
© 2004 International Society for Photogrammetry and Remote Sensing. All rights reserved.The differen...
Satellite image classification has a vital role for the extraction and analysis of the useful satell...
The different satellite image classification methods were compared using the satellite images of the...
Abstract: Image classification entails the important part of digital image and has been very essenti...
ABSTRACT: In remote sensing, different classification methods are performed to satellite imagery acc...
Decoding satellite images involves hundreds of automated methods. These methods are included in the ...
This paper is of classification of remote sensed Multispectral satellite images using supervised and...
One of the most important functions of remote sensing data is the production of Land Use and Land Co...
Two common techniques for classifying satellite imagery are pixel-based and Feature extraction image...
Satellite image classification is crucial in various applications such as urban planning, environmen...
ABSTRACT: Land cover classification from satellite imagery provides base data for planning activiti...
ABSTRACT An overall performance comparison was delineated in this paper between the two most common...
The classification of historical maps has become a crucial task in today's rapidly changing landscap...
Remote Sensing is a multi-disciplinary technique for image acqui-sition and measurement of informati...
A study has been carried out of 15 years of published peer-reviewed experiments on satellite image c...
© 2004 International Society for Photogrammetry and Remote Sensing. All rights reserved.The differen...
Satellite image classification has a vital role for the extraction and analysis of the useful satell...
The different satellite image classification methods were compared using the satellite images of the...
Abstract: Image classification entails the important part of digital image and has been very essenti...
ABSTRACT: In remote sensing, different classification methods are performed to satellite imagery acc...
Decoding satellite images involves hundreds of automated methods. These methods are included in the ...
This paper is of classification of remote sensed Multispectral satellite images using supervised and...
One of the most important functions of remote sensing data is the production of Land Use and Land Co...
Two common techniques for classifying satellite imagery are pixel-based and Feature extraction image...
Satellite image classification is crucial in various applications such as urban planning, environmen...
ABSTRACT: Land cover classification from satellite imagery provides base data for planning activiti...