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[HTML][HTML] Evaluating the ability to use contextual features derived from multi-scale satellite imagery to map spatial patterns of urban attributes and population …

S Chao, R Engstrom, M Mann, A Bedada - Remote Sensing, 2021 - mdpi.com
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …
被引用次数：8 相关文章
[PDF] researchgate.net

[PDF][PDF] Evaluating the Ability to use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population …

S Chao, R Engstrom, M Mann, A Bedada - Remote Sens, 2021 - researchgate.net
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …

Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions

S Chao, R Engstrom, M Mann, A Bedada - Remote Sensing, 2021 - search.proquest.com
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …

Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions

S Chao, R Engstrom, M Mann, A Bedada - Remote Sensing, 2021 - agris.fao.org
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …

Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions.

S Chao, R Engstrom, M Mann, A Bedada - Remote Sensing, 2021 - search.ebscohost.com
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …
[PDF] academia.edu

[PDF][PDF] Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population …

S Chao, R Engstrom, M Mann, A Bedada - Remote Sens, 2021 - academia.edu
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …
[PDF] semanticscholar.org

[PDF][PDF] Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population …

S Chao, R Engstrom, M Mann, A Bedada - 2021 - pdfs.semanticscholar.org
With an increasing global population, accurate and timely population counts are essential
for urban planning and disaster management. Previous research using contextual features …

[引用][C] Evaluating the Ability to use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population …

S Chao, R Engstrom, M Mann, A Bedada - Remote Sensing, 2021 - ui.adsabs.harvard.edu
Evaluating the Ability to use Contextual Features Derived from Multi-Scale Satellite Imagery to
Map Spatial Patterns of Urban Attributes and Population Distributions - NASA/ADS Now on …

[引用][C] Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population …

S Chao, R Engstrom, M Mann, A Bedada - 2021