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Segmentation is an essential step for remote sensing image processing.
Toth, C. & Jóźków, G. Remote sensing platforms and sensors: A survey. ISPRS Journal Of Photogrammetry And Remote Sensing
2015
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Yang, D., Li, Z., Xia, Y. & Chen, Z. Remote sensing image super-resolution: Challenges and approaches. 2015 IEEE International Conference On Digital Signal Processing (DSP)
2015
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Chi, M., Plaza, A., Benediktsson, J., Sun, Z., Shen, J. & Zhu, Y. Big Data for Remote Sensing: Challenges and Opportunities. Proceedings Of The IEEE
2016
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Gómez, C., White, J. & Wulder, M. Optical remotely sensed time series data for land cover classification: A review. ISPRS Journal Of Photogrammetry And Remote Sensing
2016
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Rahman, M. & Wang, Y. Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation. Advances In Visual Computing
2016
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Loshchilov, I. & Hutter, F. SGDR: Stochastic Gradient Descent with Warm Restarts. (2017)
2017
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Gharibbafghi, Z., Tian, J. & Reinartz, P. Modified Superpixel Segmentation for Digital Surface Model Refinement and Building Extraction from Satellite Stereo Imagery. Remote Sensing
2018
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Benjdira, B., Bazi, Y., Koubaa, A. & Ouni, K. Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images. Remote Sensing
2019
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Hossain, M. & Chen, D. Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective. ISPRS Journal Of Photogrammetry And Remote Sensing
2019
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Osco, L., Arruda, M., Junior, J., Silva, N., Ramos, A., Akemi Saito Moryia, Imai, N., Pereira, D., Creste, J., Matsubara, E., Li, J. & Gonçalves, W. A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery. ISPRS Journal Of Photogrammetry And Remote Sensing
2019
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Su, H., Wei, S., Yan, M., Wang, C., Shi, J. & Zhang, X. Object Detection and Instance Segmentation in Remote Sensing Imagery Based on Precise Mask R-CNN. IGARSS 2019 - 2019 IEEE International Geoscience And Remote Sensing Symposium
2019
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Tong, X., Xia, G., Lu, Q., Shen, H., Li, S., You, S. & Zhang, L. Land-cover classification with high-resolution remote sensing images using transferable deep models. Remote Sensing Of Environment
2019
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Amani, M., Ghorbanian, A., Ahmadi, S., Kakooei, M., Moghimi, A., Mirmazloumi, S., Moghaddam, S., Mahdavi, S., Ghahremanloo, M., Parsian, S., Wu, Q. & Brisco, B. Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing
2020
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Li, K., Hu, X., Jiang, H., Shu, Z. & Zhang, M. Attention-Guided Multi-Scale Segmentation Neural Network for Interactive Extraction of Region Objects from High-Resolution Satellite Imagery. Remote Sensing
2020
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Torres, D., Feitosa, R., Happ, P., Rosa, L., Junior, J., Martins, J., Bressan, P., Gonçalves, W. & Liesenberg, V. Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery. Sensors
2020
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Lobry, S., Marcos, D., Murray, J. & Tuia, D. RSVQA: Visual Question Answering for Remote Sensing Data. IEEE Transactions On Geoscience And Remote Sensing
2020
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Powers, D. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation. (2020)
2020
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Wang, Y., Lv, H., Deng, R. & Zhuang, S. A Comprehensive Survey of Optical Remote Sensing Image Segmentation Methods. Canadian Journal Of Remote Sensing
2020
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Wang, S., Chen, W., Xie, S., Azzari, G. & Lobell, D. Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery. Remote Sensing
2020
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Yuan, Q., Shen, H., Li, T., Li, Z., Li, S., Jiang, Y., Xu, H., Tan, W., Yang, Q., Wang, J., Gao, J. & Zhang, L. Deep learning in environmental remote sensing: Achievements and challenges. Remote Sensing Of Environment
2020
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Yuan, X., Shi, J. & Gu, L. A review of deep learning methods for semantic segmentation of remote sensing imagery. Expert Systems With Applications
2020
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Zhang, X., Jin, J., Lan, Z., Li, C., Fan, M., Wang, Y., Yu, X. & Zhang, Y. ICENET: A semantic segmentation deep network for river ice by fusing positional and channel-wise attentive features. Remote Sensing
2020
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Zheng, Z., Zhong, Y., Wang, J. & Ma, A. Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery. Proceedings Of The IEEE/CVF Conference On Computer Vision And Pattern Recognition (CVPR)
2020
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Ding, J., Xue, N., Xia, G., Bai, X., Yang, W., Yang, M., Belongie, S., Luo, J., Datcu, M., Pelillo, M. & Zhang, L. Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. IEEE Transactions On Pattern Analysis And Machine Intelligence
2021
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Gao, K., Chen, M., Narges Fatholahi, S., He, H., Xu, H., Marcato Junior, J., Nunes Gonçalves, W., Chapman, M. & Li, J. A region-based deep learning approach to instance segmentation of aerial orthoimagery for building rooftop extraction. Geomatica
2021
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Hua, X., Wang, X., Rui, T., Shao, F. & Wang, D. Cascaded panoptic segmentation method for high resolution remote sensing image. Applied Soft Computing
2021
Cited alongside, same era.
Kotaridis, I. & Lazaridou, M. Remote sensing image segmentation advances: A meta-analysis. ISPRS Journal Of Photogrammetry And Remote Sensing
2021
Cited alongside, same era.
Li, X., Deng, J. & Fang, Y. Few-Shot Object Detection on Remote Sensing Images. IEEE Transactions On Geoscience And Remote Sensing
2021
Cited alongside, same era.
Lu, J., Jia, H., Li, T., Li, Z., Ma, J. & Zhu, R. An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration. Remote Sensing
2021
Cited alongside, same era.
Ma, A., Wang, J., Zhong, Y. & Zheng, Z. FactSeg: Foreground Activation-Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery. IEEE Transactions On Geoscience And Remote Sensing
Zhang, H., Li, F., Liu, S., Zhang, L., Su, H., Zhu, J., Ni, L. & Shum, H. DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection. (2022)
2022
Later among the works it cites.
2022
Later among the works it cites.
Zia, U., Riaz, M. & Ghafoor, A. Transforming remote sensing images to textual descriptions. International Journal Of Applied Earth Observation And Geoinformation
2022
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Adam, J., Liu, W., Zang, Y., Afzal, M., Bello, S., Muhammad, A., Wang, C. & Li, J. Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey. International Journal Of Applied Earth Observation And Geoinformation
2023
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2021
Cited alongside, same era.
Martins, J., Nogueira, K., Osco, L., Gomes, F., Furuya, D., Gonçalves, W., Sant’Ana, D., Ramos, A., Liesenberg, V., Santos, J., Oliveira, P. & Junior, J. Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning. Remote Sensing
2021
Cited alongside, same era.
Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N. & Terzopoulos, D. Image Segmentation Using Deep Learning: A Survey. IEEE Transactions On Pattern Analysis And Machine Intelligence
2021
Cited alongside, same era.
Osco, L., Arruda, M., Gonçalves, D., Dias, A., Batistoti, J., Souza, M., Gomes, F., Ramos, A., Castro Jorge, L., Liesenberg, V., Li, J., Ma, L., Marcato, J. & Gonçalves, W. A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery. ISPRS Journal Of Photogrammetry And Remote Sensing
2021
Cited alongside, same era.
Osco, L., Junior, J., Ramos, A., Castro Jorge, L., Fatholahi, S., Andrade Silva, J., Matsubara, E., Pistori, H., Gonçalves, W. & Li, J. A review on deep learning in UAV remote sensing. International Journal Of Applied Earth Observation And Geoinformation
2021
Cited alongside, same era.
Osco, L., Nogueira, K., Ramos, A., Pinheiro, M., Furuya, D., Gonçalves, W., Castro Jorge, L., Junior, J. & Santos, J. Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture
2021
Cited alongside, same era.
Rahnemoonfar, M., Chowdhury, T., Sarkar, A., Varshney, D., Yari, M. & Murphy, R. FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. IEEE Access
2021
Cited alongside, same era.
Sun, X., Wang, B., Wang, Z., Li, H., Li, H. & Fu, K. Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation. IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing
2021
Cited alongside, same era.
Aleissaee, A., Kumar, A., Anwer, R., Khan, S., Cholakkal, H., Xia, G. & Khan, F. Transformers in Remote Sensing: A Survey. Remote Sensing
2023
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European Space Agency SkySat - EOGateway. (2023), https://earth.esa.int/eogateway/missions/SkySat, Accessed: 2023-05-29
2023
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Grounded-Segment-Anything . IDEA-Research. GitHub Repository
2023
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Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A., Lo, W., Dollár, P. & Girshick, R. Segment Anything. (2023)
2023
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Li, K., Wang, Y., Zhang, J., Gao, P., Song, G., Liu, Y., Li, H. & Qiao, Y. UniFormer: Unifying Convolution and Self-attention for Visual Recognition. (2023)
2023
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Li, X., Ding, H., Zhang, W., Yuan, H., Pang, J., Cheng, G., Chen, K., Liu, Z. & Loy, C. Transformer-Based Visual Segmentation: A Survey. (2023)
2023
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Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., Li, C., Yang, J., Su, H., Zhu, J. & Zhang, L. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection. (2023)
2023
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Liu, F., Chen, D., Guan, Z., Zhou, X., Zhu, J. & Zhou, J. RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. (2023)
2023
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Mai, G., Huang, W., Sun, J., Song, S., Mishra, D., Liu, N., Gao, S., Liu, T., Cong, G., Hu, Y., Cundy, C., Li, Z., Zhu, R. & Lao, N. On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. (2023)
2023
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Mialon, G., Dessì, R., Lomeli, M., Nalmpantis, C., Pasunuru, R., Raileanu, R., Rozière, B., Schick, T., Dwivedi-Yu, J., Celikyilmaz, A., Grave, E., LeCun, Y. & Scialom, T. Augmented Language Models: a Survey. (2023)
2023
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OpenAI. GPT-4 Technical Report. (2023)
2023
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Osco, L., Lemos, E., Gonçalves, W., Ramos, A. & Junior, J. The Potential of Visual ChatGPT for Remote Sensing. Remote Sensing
2023
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Osco, L. AI-RemoteSensing: a collection of Jupyter and Google Colaboratory notebooks dedicated to leveraging Artificial Intelligence (AI) in Remote Sensing applications. (Zenodo,2023,6), https://doi.org/10.5281/zenodo.8092269
2023
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Qurratulain, S., Zheng, Z., Xia, J., Ma, Y. & Zhou, F. Deep learning instance segmentation framework for burnt area instances characterization. International Journal Of Applied Earth Observation And Geoinformation
2023
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Song, Y., Kalacska, M., Gašparović, M., Yao, J. & Najibi, N. Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping. International Journal Of Applied Earth Observation And Geoinformation
2023
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Wu, Q., Osco, L. samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM). (Zenodo,2023,5), https://doi.org/10.5281/zenodo.7966658
2023
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Wu, C., Yin, S., Qi, W., Wang, X., Tang, Z. & Duan, N. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models. (2023)
2023
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Xu, Y., Bai, T., Yu, W., Chang, S., Atkinson, P. & Ghamisi, P. AI Security for Geoscience and Remote Sensing: Challenges and future trends. IEEE Geoscience And Remote Sensing Magazine
2023
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Zhang, R., Jiang, Z., Guo, Z., Yan, S., Pan, J., Dong, H., Gao, P. & Li, H. Personalize Segment Anything Model with One Shot. (2023)
2023
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Zhang, J., Huang, J., Jin, S. & Lu, S. Vision-Language Models for Vision Tasks: A Survey. (2023)
2023
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Zhang, Z., Zhang, Q., Hu, X., Zhang, M. & Zhu, D. On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery. ISPRS Journal Of Photogrammetry And Remote Sensing
2023
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