AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery

Annus Zulfiqar; Muhammad M. Ghaffar; Muhammad Shahzad; Christian Weis; Muhammad I. Malik; Faisal Shafait; Norbert Wehn

doi:10.1117/1.jrs.15.024518

AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.15.024518 ◽

2021 ◽

Vol 15 (02) ◽

Author(s):

Annus Zulfiqar ◽

Muhammad M. Ghaffar ◽

Muhammad Shahzad ◽

Christian Weis ◽

Muhammad I. Malik ◽

...

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Semantic Segmentation ◽

Remote Sensing Imagery ◽

End To End

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An End-to-End Network for Remote Sensing Imagery Semantic Segmentation via Joint Pixel- and Representation-Level Domain Adaptation

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.3010591 ◽

2020 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Lukui Shi ◽

Ziyuan Wang ◽

Bin Pan ◽

Zhenwei Shi

Keyword(s):

Remote Sensing ◽

Domain Adaptation ◽

Semantic Segmentation ◽

Remote Sensing Imagery ◽

End To End ◽

Representation Level

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End-to-End Change Detection in Satellite Remote Sensing Imagery

10.1109/igarss47720.2021.9553885 ◽

2021 ◽

Author(s):

Meziane Iftene ◽

Mohammed El Amin Larabi ◽

Moussa Sofiane Karoui

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Satellite Remote Sensing ◽

Remote Sensing Imagery ◽

End To End

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Bilateral Semantic Fusion Siamese Network for Change Detection From Multitemporal Optical Remote Sensing Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3082630 ◽

2021 ◽

pp. 1-5

Author(s):

Hailin Du ◽

Yin Zhuang ◽

Shan Dong ◽

Can Li ◽

He Chen ◽

...

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Optical Remote Sensing ◽

Remote Sensing Imagery ◽

Siamese Network

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Change detection based on structural conditional random field framework for high spatial resolution remote sensing imagery

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127138 ◽

2017 ◽

Author(s):

Pengyuan Lv ◽

Yanfei Zhong ◽

Ji Zhao ◽

Ailong Ma ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Random Field ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Conditional Random Field ◽

Remote Sensing Imagery

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Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2658731 ◽

2017 ◽

Vol 55 (5) ◽

pp. 3015-3028 ◽

Cited By ~ 14

Author(s):

Chen Zheng ◽

Yun Zhang ◽

Leiguang Wang

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Field Model ◽

Semantic Segmentation ◽

Random Field Model ◽

Remote Sensing Imagery ◽

Markov Random Field Model ◽

Markov Random ◽

Object Based

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Unsupervised Land Use/Land Cover Change Detection with Integrated Pixel and Object Based Approaches for High Resolution Remote Sensing Imagery

Earth Observation for Land and Emergency Monitoring ◽

10.1002/9781118793787.ch6 ◽

2017 ◽

pp. 101-116

Author(s):

S. Shrestha ◽

C. Smith ◽

Z. Bochenek

Keyword(s):

Remote Sensing ◽

Land Use ◽

High Resolution ◽

Land Cover ◽

Change Detection ◽

Land Cover Change ◽

Land Use Land Cover ◽

Remote Sensing Imagery ◽

Object Based ◽

Land Cover Change Detection

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Unsupervised Domain Adaptation for Semantic Segmentation of High-resolution Remote Sensing Imagery Driven by Category-Certainty Attention

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3140108 ◽

2022 ◽

pp. 1-1

Author(s):

Jie Chen ◽

Jingru Zhu ◽

Ya Guo ◽

Geng Sun ◽

Yi Zhang ◽

...

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Domain Adaptation ◽

Semantic Segmentation ◽

Remote Sensing Imagery ◽

Unsupervised Domain Adaptation

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Solving Geometric Co-registration Problem of Multi-spectral Remote Sensing Imagery Using SIFT-Based Features toward Precise Change Detection

Advances in Visual Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24031-7_61 ◽

2011 ◽

pp. 607-616 ◽

Cited By ~ 1

Author(s):

Mostafa Abdelrahman ◽

Asem Ali ◽

Shireen Elhabian ◽

Aly A. Farag

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Remote Sensing Imagery

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Few-Shot Semantic Segmentation for Building Detection and Road Extraction Based on Remote Sensing Imagery Using Model-Agnostic Meta-Learning

10.1007/978-981-15-8155-7_166 ◽

2021 ◽

pp. 1973-1983

Author(s):

Kai Zhang ◽

Yu Han ◽

Jian Chen ◽

Shubo Wang ◽

Zichao Zhang

Keyword(s):

Remote Sensing ◽

Semantic Segmentation ◽

Building Detection ◽

Road Extraction ◽

Remote Sensing Imagery ◽

Meta Learning

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Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2819367 ◽

2018 ◽

Vol 56 (7) ◽

pp. 4002-4015 ◽

Cited By ~ 18

Author(s):

Pengyuan Lv ◽

Yanfei Zhong ◽

Ji Zhao ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Random Field ◽

Spatial Resolution ◽

Field Model ◽

High Spatial Resolution ◽

Conditional Random Field ◽

Random Field Model ◽

Remote Sensing Imagery ◽

Conditional Random Field Model

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