Impact of sensor's point spread function on land cover characterization: Assessment and deconvolution

By Chengquan Huang, John R. Townshend, Shunlin Liang, Satya Kalluri, Ruth S. DeFries. 2002

198 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/168ee7527dceee036d0a3c5693b8f2a9a50b544d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Patrick Hostert
2. Tobias Kuemmerle
3. Barnali Dixon
4. N. Candade

In Media Technology

1. Pol R. Coppin
2. Patrick Hostert
3. Ben Somers
4. Tobias Kuemmerle
5. Sebastian van der Linden
6. Barnali Dixon
7. N. Candade

Citations in the corpus

• Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards (2009, methodology): “The use of deconvolution filters has been proposed to reduce this effect (Huang et al., 2002) while Settle (2005) presented amodel, driven by the sensor's PSF, to convert the estimates provided by SMA to actual ground cover.”
• Multispectral landuse classification using neural networks and support vector machines: one or the other, or both? (2008, methodology): “This research confirms most of the findings published by Huang et al. (2002) with some notable differences.”
• A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping (2013, background): “However, the averaging effect related to introducing the PSF would not have altered the overall results [24].”