By Topic

Geometric Modeling for High Resolution Indian Remote Sensing Satellite Sensors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Pullur Variam Radhadevi ; Dept.of SPACE/ISRO, Digital mapping and Modeling Division, ADRIN, Secunderabad, India

The entry of Cartosat and Resourcesat series in Indian Remote Sensing (IRS) satellites opened a new chapter in photogrammetric exploitation of High Resolution Satellite imagery. The DEMs generated from Cartosat-1 are already in the main stream for urban, rural and agricultural usage and Cartosat-2 imagery of 0.8 m resolution has the potential to be used for topographic map compilation. Resourcesat-1 and Resourcesat-2 satellites with multi-spatial and multi-spectral capabilities in a single platform are suitable for agricultural and thematic applications. Chandrayaan-1 was the first step towards outer space exploration and the DEMs generated from its Terrain Mapping Camera helps us to understand moon's topography and evolution. Processing of images acquired by different sensors provides a challenge for algorithmic redesign and required to improve many photogrammetric processing components especially sensor models. This paper provides an overview of different geometric considerations adopted for these sensors such as in-flight calibration, band to band registration, stagger correction, geo-integration and simultaneous rectification of imagery from different sensors of same payload.

Published in:

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  (Volume:6 ,  Issue: 3 )