Object-Based Window Strategy in Thermal Sharpening

Avegetation index based technique for spatial sharpening of thermal imagery

High spatial resolution (∼100 m) thermal infrared band imagery has utility in a variety of applications in environmental monitoring. However, currently such data have limited availability and only at low temporal resolution, while coarser resolution thermal data (∼1000 m) are routinely available, but not as useful for identifying environmental features for many landscapes. An algorithm for shar...

Object-based attention: strategy versus automaticity.

This article begins with a description of space- and object-based guidance of attentional selection. It goes on to discuss the most influential, two-rectangle, paradigm for demonstrating the existence of space- and object-based attentional effects. The article then considers two different mechanisms, attentional spreading and attentional prioritization, that can potentially explain how object r...

Evaluation of the DisTrad thermal sharpening methodology for urban areas

The goal of this paper is to evaluate the DisTrad sharpening technique for deriving land surface temperatures over urban areas. While the original DisTrad technique is based on the correlation between land surface temperature and NDVI, this study evaluates the performance of DisTrad over different land covers by analysing the correlation between land surface temperature and 15 different indices...

TS2uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery

Thermal infrared (TIR) imagery is normally acquired at coarser pixel resolution than that of shortwave sensors on the same satellite platform. TIR resolution is often not suitable for monitoring crop conditions of fragmented farming lands, e.g., the accurate estimates of evapotranspiration (ET) based on surface energy balance from remote sensing for irrigation water management. Consequently, th...

Sharpening incentives to perform: DFID’s Strategy for Payment by Results