The aerial imagery obtained from reconnaissance platform is voluminous and the defenceforces rely on image information to perform intelligent tasks. The application of a welldesigned automatic image classifier would enhance the end results of different high levelapplications thereby abridging the effort of a human analyst. Automatic image classifierscould be designed using a training data set for supervised learning or using an unsupervisedlearning. In this paper, a method, which combines both unsupervised and supervised methodsof learning is proposed
A wide variety of image processing applications require segmentation and classification ofimages. Th...
Analysis of classification system by video observation has been done. The system with aided cla...
Discusses the machine interpretation of remotely-sensed in terms of human concepts by combining the...
The aerial imagery obtained from reconnaissance platform is voluminous and the defenceforces rely on...
The use, commerce and technological development of Unmanned Aerial Vehicles (UAV’s) is advancing eve...
The paper shows possibility to classify B&W aerial orthophotographs and other monochromatic remo...
The maturity reached in the development of Unmanned Air Vehicles (UAVs) systems is making them more ...
In the last decade, the use of Machine Learning in aerial imagery data processing has multiplied. Th...
Following text is focused on finding a proper balance between classification accuracy and classifica...
Aerial oil pipeline inspection is a dangerous endeavor in the current practice, where a pilot flying...
Research in the field of image classification has been widely applied and developed, especially in t...
The maturity reached in the development of Unmanned Air Vehicles (UAVs) systems is making them more ...
The object of this work is the recognition algorithms of aerial photography objects, namely, the ana...
Image classification is a procedure to automatically categorize all pixels in an image [9]. Image cl...
This paper introduces an interactive recognition assistance system for imaging reconnaissance. This ...
A wide variety of image processing applications require segmentation and classification ofimages. Th...
Analysis of classification system by video observation has been done. The system with aided cla...
Discusses the machine interpretation of remotely-sensed in terms of human concepts by combining the...
The aerial imagery obtained from reconnaissance platform is voluminous and the defenceforces rely on...
The use, commerce and technological development of Unmanned Aerial Vehicles (UAV’s) is advancing eve...
The paper shows possibility to classify B&W aerial orthophotographs and other monochromatic remo...
The maturity reached in the development of Unmanned Air Vehicles (UAVs) systems is making them more ...
In the last decade, the use of Machine Learning in aerial imagery data processing has multiplied. Th...
Following text is focused on finding a proper balance between classification accuracy and classifica...
Aerial oil pipeline inspection is a dangerous endeavor in the current practice, where a pilot flying...
Research in the field of image classification has been widely applied and developed, especially in t...
The maturity reached in the development of Unmanned Air Vehicles (UAVs) systems is making them more ...
The object of this work is the recognition algorithms of aerial photography objects, namely, the ana...
Image classification is a procedure to automatically categorize all pixels in an image [9]. Image cl...
This paper introduces an interactive recognition assistance system for imaging reconnaissance. This ...
A wide variety of image processing applications require segmentation and classification ofimages. Th...
Analysis of classification system by video observation has been done. The system with aided cla...
Discusses the machine interpretation of remotely-sensed in terms of human concepts by combining the...