D. E. M. Features for Remote Sensing Image Analysis by an Expert System: Stream Networks and Real Distances Computation

2005 ◽  
Author(s):  
M. Zehana ◽  
J. Desachy ◽  
E-H. Zahzah
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Expert System ◽  
Remote Sensing Image ◽  
Stream Networks

Land Utilization and Classification Based on Remote Sensing Image Analysis Expert System Technology

2013 ◽  
Vol 333-335 ◽  
pp. 1155-1158
Author(s):  
Tong He Sun ◽  
Zhi Guo Bai
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Expert System ◽  
Reference Value ◽  
Remote Sensing Image ◽  
Basic Information ◽  
System Technology ◽  
Remote Sensing Images ◽  
Land Utilization

This paper discusses land utilization and classification based on remote sensing image analysis expert system technology. Taking the bureau department area remote sensing images as the basic information, and using MAPGIS and Ecognition software, we carry on the classification of the land. The results show that remote sensing image analysis expert system technology applies to land utilization situation and land classification, which has reference value.

Weighted model-based clustering for remote sensing image analysis

2009 ◽  
Vol 14 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Joseph W. Richards ◽  
Johanna Hardin ◽  
Eric B. Grosfils
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Remote Sensing Image ◽  
Model Based Clustering ◽  
Model Based ◽  
Weighted Model

scholarly journals Introduction to the Special Issue “Uncertainty in Remote Sensing Image Analysis”

2018 ◽  
Vol 10 (12) ◽  
pp. 1975
Author(s):  
Alfred Stein ◽  
Yong Ge ◽  
Inger Fabris-Rotelli
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Remote Sensing Image ◽  
Special Issue

Images obtained from satellites are of an increasing resolution. [...]

scholarly journals A prototype expert system for interpretation of remote sensing image data

Sadhana ◽  
1994 ◽  
Vol 19 (1) ◽  
pp. 93-111
Author(s):  
L Chandra Sekhara Sarma ◽  
V V S Sarma
Keyword(s):  
Remote Sensing ◽  
Expert System ◽  
Image Data ◽  
Remote Sensing Image

Airborne remote sensing in forestry: Sensors, analysis and applications

2000 ◽  
Vol 76 (6) ◽  
pp. 859-876 ◽  
Author(s):  
Douglas J. King
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Key Words ◽  
Analytical Techniques ◽  
Remote Sensing Image ◽  
Digital Cameras ◽  
Airborne Remote Sensing ◽  
Hyperspectral Sensors ◽  
Imaging Characteristics ◽  
Laser Remote Sensing

This paper discusses the aspects of airborne remote sensing that are critical to forestry applications, the imaging characteristics of the most common sensors currently available, and analytical techniques that make use of the great amount of information content in airborne imagery. As the first paper in the CIF technical meeting to which this issue of the Forestry Chronicle is devoted, the paper is intended to provide an overview and context for subsequent papers and not a presentation of specific research methods or results. Key words: airborne remote sensing, forestry, photography, digital cameras, hyperspectral sensors, radar, laser remote sensing, image analysis

Sign in / Sign up

Export Citation Format

Share Document