Title :
Research on Super-Resolution Objective Evaluation Index System of Visible Light Image
Author :
Weiyuan Teng ; Jing Zhang ; Chunping Zhou ; Xiaomeng Liu ; Qiong Wu ; Minbin Jiang
Author_Institution :
Key Lab. of 3D Inf. Acquisition & Applic. of Minist. of Educ., Capital Normal Univ., Beijing, China
Abstract :
With the characteristics of wide coverage, economy and real-time, satellite remote sensing had the advantage in resource and environmental monitoring, crop yield estimation, disaster monitoring, global change and so on. Satellite image´s spatial resolution is an important indicator of Space Remote Sensing level. To pursue the higher resolution has become the development goal of many countries´ satellite remote sensing. Super-resolution technology of space remote sensing image could improve satellite images´ spatial resolution which has become an important forefront of space remote sensing technology. Combine the present situation of super-resolution technology objective evaluation method, this article focused on super-resolution objective evaluation problem and studied the key parameters of image changing after super-resolution so that established a scientific super-resolution objective evaluation index system.
Keywords :
image reconstruction; image resolution; image texture; remote sensing; crop yield estimation; disaster monitoring; environmental monitoring; global change; satellite remote sensing; space remote sensing; spatial resolution; super-resolution objective evaluation index system; visible light image; Entropy; Gray-scale; Image quality; Indexes; Signal resolution; Spatial resolution;
Conference_Titel :
Image and Data Fusion (ISIDF), 2011 International Symposium on
Conference_Location :
Tengchong, Yunnan
Print_ISBN :
978-1-4577-0967-8
DOI :
10.1109/ISIDF.2011.6024222