Mr. Chirag P. Dewan Profile

Chirag P. Dewan

at Space Applications Ctr

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Publications (5)

Proceedings Article | 21 November 2017 Open Access

Mechanical design and qualification of IR filter mounts and filter wheel of INSAT-3D sounder for low temperature

A. Vora, J. Rami, A. Hait, C. Dewan, D. Subrahmanyam, A. Kirankumar

Proceedings Volume 10566, 105662O (2017) https://doi.org/10.1117/12.2308193

KEYWORDS: Optical filters, Aluminum, Germanium, Finite element methods, Temperature metrology, Mechanical engineering, Titanium, Interfaces, Optical filtering, Nonlinear filtering

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Proceedings Article | 22 December 2006 Paper

AWiFS camera for Resourcesat

Himanshu Dave, Chirag Dewan, Sandip Paul, S. Sarkar, Himanshu Pandya, S. Joshi, Ashish Mishra, Manoj Detroja

Proceedings Volume 6405, 64050X (2006) https://doi.org/10.1117/12.693971

KEYWORDS: Cameras, Sensors, Electronics, Short wave infrared radiation, Video processing, Signal to noise ratio, Video, Calibration, Clocks, Satellites

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Proceedings Article | 22 December 2006 Paper

LISS-3* camera for Resourcesat

Chirag Dewan, Sandip Paul, Himanshu Dave, S. Sarkar, Surendra Singh, P. Shah, Rattan Bisht

Proceedings Volume 6405, 64050Y (2006) https://doi.org/10.1117/12.693943

KEYWORDS: Cameras, Sensors, Electronics, Short wave infrared radiation, Video, Video processing, Signal to noise ratio, Infrared cameras, Calibration, Logic

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Proceedings Article | 22 December 2006 Paper

LISS-4 camera for Resourcesat

Sandip Paul, Himanshu Dave, Chirag Dewan, Pradeep Kumar, Satwinder Singh Sansowa, Amit Dave, B. N. Sharma, Anurag Verma

Proceedings Volume 6405, 640510 (2006) https://doi.org/10.1117/12.693964

KEYWORDS: Cameras, Sensors, Electronics, Video processing, Video, Mirrors, Space telescopes, Telescopes, Signal to noise ratio, Logic

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The Indian Remote Sensing Satellites use indigenously developed high resolution cameras for generating data related to vegetation, landform /geomorphic and geological boundaries. This data from this camera is used for working out maps at 1:12500 scale for national level policy development for town planning, vegetation etc. The LISS-4 Camera was launched onboard Resourcesat-1 satellite by ISRO in 2003. LISS-4 is a high-resolution multi-spectral camera with three spectral bands and having a resolution of 5.8m and swath of 23Km from 817 Km altitude. The panchromatic mode provides a swath of 70Km and 5-day revisit. This paper briefly discusses the configuration of LISS-4 Camera of Resourcesat-1, its onboard performance and also the changes in the Camera being developed for Resourcesat-2. LISS-4 camera images the earth in push-broom mode. It is designed around a three mirror un-obscured telescope, three linear 12-K CCDs and associated electronics for each band. Three spectral bands are realized by splitting the focal plane in along track direction using an isosceles prism. High-speed Camera Electronics is designed for each detector with 12- bit digitization and digital double sampling of video. Seven bit data selected from 10 MSBs data by Telecommand is transmitted. The total dynamic range of the sensor covers up to 100% albedo. The camera structure has heritage of IRS- 1C/D. The optical elements are precisely glued to specially designed flexure mounts. The camera is assembled onto a rotating deck on spacecraft to facilitate ± 26° steering in Pitch-Yaw plane. The camera is held on spacecraft in a stowed condition before deployment. The excellent imageries from LISS-4 Camera onboard Resourcesat-1 are routinely used worldwide. Such second Camera is being developed for Resourcesat-2 launch in 2007 with similar performance. The Camera electronics is optimized and miniaturized. The size and weight are reduced to one third and the power to half of the values in Resourcesat-1.

Proceedings Article | 28 November 2006 Paper

Ocean color monitor sensor

Rameshchandra Parmar, Somya Sarkar, Chirag Dewan, Satyaharischandrarao Undurti, Himanshu Pandya, Hemal Bhagat, Manoj Detroja, Harish Seth

Proceedings Volume 6406, 64060D (2006) https://doi.org/10.1117/12.697953

KEYWORDS: Sensors, Signal to noise ratio, Electronics, Satellites, Modulation transfer functions, Calibration, Ocean optics, Data modeling, Remote sensing, Sensor performance

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