Simulated Annealing With Variogram-Based Optimization to Quantify Spatial Patterns of Trees Extracted From High-Resolution Images

Vandita Srivastava; Alfred Stein; David G. Rossiter; P.K. Garg; R.D. Garg

doi:10.1109/LGRS.2016.2565743

Simulated Annealing With Variogram-Based Optimization to Quantify Spatial Patterns of Trees Extracted From High-Resolution Images

Vandita Srivastava, Alfred Stein, David G. Rossiter, P.K. Garg, R.D. Garg

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

53 Downloads (Pure)

Original language	English
Pages (from-to)	1084-1088
Journal	IEEE geoscience and remote sensing letters
Volume	13
Issue number	8
DOIs	https://doi.org/10.1109/LGRS.2016.2565743
Publication status	Published - 1 Aug 2016

Keywords

ITC-ISI-JOURNAL-ARTICLE
2023 OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/LGRS.2016.2565743

ArticleFinal published version, 331 KBLicence: Taverne

Cite this

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author = "Vandita Srivastava and Alfred Stein and Rossiter, {David G.} and P.K. Garg and R.D. Garg",

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AU - Stein, Alfred

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AU - Garg, P.K.

AU - Garg, R.D.

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KW - ITC-ISI-JOURNAL-ARTICLE

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JO - IEEE geoscience and remote sensing letters

JF - IEEE geoscience and remote sensing letters

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ER -

Simulated Annealing With Variogram-Based Optimization to Quantify Spatial Patterns of Trees Extracted From High-Resolution Images

Keywords

UN SDGs

Access to Document

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Cite this