Sharpening method of satellite thermal image based on the geographical statistical model-Reference-Cited by-同舟云学术

Sharpening method of satellite thermal image based on the geographical statistical model

Published:2016-05-12 Issue:2 Volume:10 Page:025013
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Qi Pengcheng¹,Hu Shixiong²,Zhang Haijun³,Guo Guangmeng³

Affiliation:

1. Nanyang Normal University, Laboratory of Remote Sensing Monitoring of Natural Disaster, 1638 Wolong Road, Nanyang 473061, ChinabHenan University, College of Environment and Planning, Jinming Road, Kaifeng 475004, China

2. Henan University, MOE Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Jinming Road, Kaifeng 475001, ChinadEast Stroudsburg University of Pennsylvania, Department of Geography, 200 Prospect Street, East Stroudsburg, P

3. Nanyang Normal University, Laboratory of Remote Sensing Monitoring of Natural Disaster, 1638 Wolong Road, Nanyang 473061, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference59 articles.

1. Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

2. A comparison of different regression models for downscaling Landsat and MODIS land surface temperature images over heterogeneous landscape

3. Regression-Kriging Technique to Downscale Satellite-Derived Land Surface Temperature in Heterogeneous Agricultural Landscape

4. Evaluating the Operational Retrieval and Downscaling of Urban Land Surface Temperatures

5. A vegetation index based technique for spatial sharpening of thermal imagery

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