Clustering-Based Representation Learning through Output Translation and Its Application to Remote-Sensing Images

construction and validation of translation metacognitive strategy questionnaire and its application to translation quality

like any other learning activity, translation is a problem solving activity which involves executing parallel cognitive processes. the ability to think about these higher processes, plan, organize, monitor and evaluate the most influential executive cognitive processes is what flavell (1975) called “metacognition” which encompasses raising awareness of mental processes as well as using effectiv...

Tensor Representation and Manifold Learning Methods for Remote Sensing Images

One of the main purposes of earth observation is to extract interested information and knowledge from remote sensing (RS) images with high efficiency and accuracy. However, with the development of RS technologies, RS system provide images with higher spatial and temporal resolution and more spectral channels than before, and it is inefficient and almost impossible to manually interpret these im...

Ontology-Based Topological Representation of Remote Sensing Images

Introducing Satellite Remote Sensing Systems and its Application in Archaeology Case Study: Behshahr Plain- Mazandaran

Human groups have considered the Behshahr plain of Mazandaran in the past Due to its particular geographical shape, location between the Caspian Sea and mountains, and the existence of some rivers in the region. However, our knowledge of this area is limited to several published surveys and archaeological investigation of its ancient sites. No detailed research has conducted on the formation of...

Objects localization in remote sensing images using local features clustering

There is an increasing trend towards object detection from aerial and satellite images. Most of the recent state-of the-art widely used object detection researches based on local features use the scanning of images by the sliding window. In this paper we propose an approach to localize the candidate objects by using the clustering of locations of the matched keypoints, this method has a benefit...