☆ 4.6 Article

Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2022)

Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation

Christian Geiss et al.

Summary: This paper presents a classification postprocessing technique for semantic remote sensing image segmentation based on fully convolutional neural networks. By using a relearning strategy and considering the geospatial domain, the classification accuracy can be enhanced, and the experimental results show the superior performance of this technique.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

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Article Geochemistry & Geophysics

Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification

Luis Moya et al.

Summary: This article discusses the application of machine learning in identifying damaged buildings after large-scale disasters, with a focus on disaster intensity that can be modeled numerically or instrumentally. Two automatic procedures for detecting severely damaged buildings are introduced to avoid the time cost of collecting labeled building samples through field surveys or visual inspection of optical images.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

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Article Environmental Sciences

Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data

Inken Mueller et al.

REMOTE SENSING (2020)

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Article Urban Studies

The dynamics of poor urban areas - analyzing morphologic transformations across the globe using Earth observation data

Nicolas J. Kraff et al.

CITIES (2020)

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Article Geography, Physical

Urbanization in China from the end of 1980s until 2010-spatial dynamics and patterns of growth using EO-data

Lifeng Shi et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2019)

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Article Geography

The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data

H. Taubenbock et al.

APPLIED GEOGRAPHY (2018)

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Review Environmental Sciences

Slums from Space15 Years of Slum Mapping Using Remote Sensing

Monika Kuffer et al.

REMOTE SENSING (2016)

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Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru

相关参考文献

Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation

Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification

Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data

The dynamics of poor urban areas - analyzing morphologic transformations across the globe using Earth observation data

Urbanization in China from the end of 1980s until 2010-spatial dynamics and patterns of growth using EO-data

The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data

Slums from Space15 Years of Slum Mapping Using Remote Sensing

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