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Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in
advancing geographic information science (GIS) and Earth observation to a new stage …

저장 인용 48회 인용 관련 학술자료 전체 3개의 버전

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[HTML] sciencedirect.com

[HTML][HTML] Super-resolution for terrain modeling using deep learning in high mountain Asia

Y Jiang, LY **ong, X Huang, S Li, W Shen - International Journal of Applied …, 2023 - Elsevier

Abstract High Mountain Asia (HMA) is characterized by some of the most complex and
rugged terrain conditions in the world. However, high resolution terrain data are not easy to …

저장 인용 19회 인용 관련 학술자료

HigherNet-DST: Higher resolution network with dynamic scale training for rooftop delineation

H He, L Ma, J Li - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org

High-definition (HD) maps of building rooftops or footprints are important for urban
application and disaster management. Rapid creation of such HD maps through rooftop …

저장 인용 1회 인용 관련 학술자료 전체 2개의 버전

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[PDF] ieee.org

Optimizing and evaluating swin transformer for aircraft classification: Analysis and generalizability of the mtarsi dataset

K Gao, H He, D Lu, L Xu, L Ma, J Li - IEEE Access, 2022 - ieeexplore.ieee.org

Aircraft classification via remote sensing images has many commercial and military
applications. The Swin-Transformer has shown great promise, recently dominating general …

저장 인용 6회 인용 관련 학술자료 전체 3개의 버전

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[PDF] tandfonline.com

Let the loss impartial: a hierarchical unbiased loss for small object segmentation in high-resolution remote sensing images

Q Chong, M Ni, J Huang, G Wei, Z Li… - European Journal of …, 2023 - Taylor & Francis

The progress in optical remote sensing technology presents both a possibility and challenge
for small object segmentation task. However, the gap between human vision cognition and …

저장 인용 1회 인용 관련 학술자료 전체 3개의 버전

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[HTML][HTML] SLRCNN: Integrating sparse and low-rank with a CNN denoiser for hyperspectral and multispectral image fusion

L Li, H He, N Chen, X Kang, B Wang - International Journal of Applied …, 2024 - Elsevier

Fusion of hyperspectral image (HSI) and multispectral image (MSI) is a prevalent scheme to
generate a HSI with enhanced spatial resolution. Current methods often fail to sufficiently …

저장 인용 관련 학술자료

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[PDF] dergipark.org.tr

Derin öğrenme uygulamalarında kullanılan uzaktan algılama verilerinden oluşturulmuş açık kaynaklı bina veri setleri: Karşılaştırmalı değerlendirme

E Özaydın, B Amirgan, G Taşkın, N Musaoğlu - Geomatik, 2024 - dergipark.org.tr

Bina çıkarımı; arazi kullanımı, şehir planlaması, afet izleme, navigasyon, coğrafi veri
tabanlarının güncellenmesi ve kentsel dinamik izleme gibi çeşitli mekânsal uygulamalarda …

저장 인용 1회 인용 관련 학술자료 전체 4개의 버전 HTML 버전

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[PDF] arxiv.org

Building and Road Segmentation Using EffUNet and Transfer Learning Approach

S Gangurde - arxiv preprint arxiv:2307.03980, 2023 - arxiv.org

In city, information about urban objects such as water supply, railway lines, power lines,
buildings, roads, etc., is necessary for city planning. In particular, information about the …

저장 인용 1회 인용 관련 학술자료 전체 2개의 버전 HTML 버전

Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution

Y Cai, H He, Z He, MA Chapman, J Li… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org

The spatial resolution of Earth Observation (EO) images plays a key role in building footprint
extraction. For the spatial resolution enhancement, deep learning-based image super …

저장 인용 4회 인용 관련 학술자료

Loss Functions Analysis of Performance Improvements in Single-Image Super-Resolution

Y Cai, H He, Z He - IGARSS 2024-2024 IEEE International …, 2024 - ieeexplore.ieee.org

The building rooftop delineation plays a critical role in urban planning and management.
Current methods on improving the delineation accuracy of the building rooftops mostly …

저장 인용 관련 학술자료

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[HTML][HTML] Super-resolution for terrain modeling using deep learning in high mountain Asia

HigherNet-DST: Higher resolution network with dynamic scale training for rooftop delineation

Optimizing and evaluating swin transformer for aircraft classification: Analysis and generalizability of the mtarsi dataset

Let the loss impartial: a hierarchical unbiased loss for small object segmentation in high-resolution remote sensing images

[HTML][HTML] SLRCNN: Integrating sparse and low-rank with a CNN denoiser for hyperspectral and multispectral image fusion

Derin öğrenme uygulamalarında kullanılan uzaktan algılama verilerinden oluşturulmuş açık kaynaklı bina veri setleri: Karşılaştırmalı değerlendirme

Building and Road Segmentation Using EffUNet and Transfer Learning Approach

Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution

Loss Functions Analysis of Performance Improvements in Single-Image Super-Resolution