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ORCIDBegüm Demir
Person information
- affiliation: TU Berlin, Department of Computer Engineering and Microelectronics, Germany
- affiliation: University of Trento, Department of Information Engineering and Computer Science, Italy
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2020 – today
- 2022
[j39]Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou
, Holmer Hemsen, Marcela Charfuelan, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl:
Satellite Image Search in AgoraEO. Proc. VLDB Endow. 15(12): 3646-3649 (2022)- [j38]Gencer Sumbul, Begüm Demir:
Plasticity-Stability Preserving Multi-Task Learning for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j37]Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir:
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j36]Gencer Sumbul, Jun Xiang, Begüm Demir:
Towards Simultaneous Image Compression and Indexing for Scalable Content-Based Retrieval in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c60]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. ICASSP 2022: 4463-4467 - [c59]Adina Zell, Gencer Sumbul, Begüm Demir:
Deep Metric Learning-Based Semi-Supervised Regression with Alternate Learning. ICIP 2022: 2411-2415 - [c58]Gencer Sumbul, Markus Müller, Begüm Demir:
A Novel Self-Supervised Cross-Modal Image Retrieval Method in Remote Sensing. ICIP 2022: 2426-2430 - [c57]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. ICIP 2022: 2556-2560 - [c56]Gencer Sumbul, Jun Xiang, Nimisha Thekke Madam, Begüm Demir:
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval. IGARSS 2022: 251-254 - [c55]Soronzonbold Otgonbaatar, Mihai Datcu, Begüm Demir:
Causality for Remote Sensing: An Exploratory Study. IGARSS 2022: 259-262 - [c54]Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Bülent Sankur, Begüm Demir:
Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives. IGARSS 2022: 1940-1943 - [c53]Steve Ahlswede, Nimisha Thekke Madam, Christian Schulz, Birgit Kleinschmit, Begüm Demir:
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods. IGARSS 2022: 4847-4850 - [c52]Soronzonbold Otgonbaatar, Mihai Datcu, Begüm Demir:
Coreset of Hyperspectral Images on a Small Quantum Computer. IGARSS 2022: 4923-4926 - [i29]Jun Xiang, Gencer Sumbul, Nimisha Thekke Madam, Begüm Demir:
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval. CoRR abs/2201.06459 (2022) - [i28]Steve Ahlswede, Thekke Madam Nimisha, Christian Schulz, Birgit Kleinschmit, Begüm Demir:
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods. CoRR abs/2201.07495 (2022) - [i27]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. CoRR abs/2201.08125 (2022) - [i26]Adina Zell, Gencer Sumbul, Begüm Demir:
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning. CoRR abs/2202.11388 (2022) - [i25]Gencer Sumbul, Markus Müller, Begüm Demir:
A Novel Self-Supervised Cross-Modal Image Retrieval Method In Remote Sensing. CoRR abs/2202.11429 (2022) - [i24]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. CoRR abs/2202.13117 (2022) - [i23]Soronzonbold Otgonbaatar, Mihai Datcu, Begüm Demir:
Coreset of Hyperspectral Images on Small Quantum Computer. CoRR abs/2204.04691 (2022) - [i22]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. CoRR abs/2204.08707 (2022) - [i21]Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir:
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. CoRR abs/2207.13975 (2022) - [i20]Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou, Holmer Hemsen, Marcela Charfuelan, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl:
Satellite Image Search in AgoraEO. CoRR abs/2208.10830 (2022) - [i19]Tom-Lukas Breitkopf, Leonard W. Hackel, Mahdyar Ravanbakhsh, Anne-Karin Cooke, Sandra Willkommen, Stefan Broda, Begüm Demir:
Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images. CoRR abs/2210.02071 (2022) - [i18]Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir:
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing. CoRR abs/2210.04510 (2022) - [i17]Lars Möllenbrok, Begüm Demir:
Deep Active Learning for Multi-Label Classification of Remote Sensing Images. CoRR abs/2212.01165 (2022) - [i16]Gencer Sumbul, Begüm Demir:
Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning in Remote Sensing. CoRR abs/2212.01261 (2022) - 2021
- [j35]Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe:
Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 18(2): 226-230 (2021) - [j34]Rubén Fernández-Beltran, Begüm Demir, Filiberto Pla, Antonio Plaza:
Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing. IEEE Geosci. Remote. Sens. Lett. 18(2): 256-260 (2021) - [j33]Akshara Preethy Byju, Gencer Sumbul, Begüm Demir, Lorenzo Bruzzone:
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain. IEEE Trans. Geosci. Remote. Sens. 59(4): 3458-3472 (2021) - [j32]Gencer Sumbul, Sonali Nayak, Begüm Demir:
SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 59(8): 6922-6934 (2021) - [j31]Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir:
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration. IEEE Trans. Neural Networks Learn. Syst. 32(2): 826-840 (2021) - [c51]Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir:
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. ICIP 2021: 3842-3846 - [c50]Gencer Sumbul, Begüm Demir:
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval. IGARSS 2021: 266-269 - [c49]Sylvain Lobry, Begüm Demir, Devis Tuia:
RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing. IGARSS 2021: 1218-1221 - [i15]Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir:
A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval. CoRR abs/2105.03647 (2021) - [i14]Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir:
A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise. CoRR abs/2105.05496 (2021) - [i13]Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir, Volker Markl:
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval. CoRR abs/2105.07921 (2021) - [i12]Gencer Sumbul, Begüm Demir:
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval. CoRR abs/2106.00506 (2021) - 2020
- [j30]Gencer Sumbul, Begüm Demir:
A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification. IEEE Access 8: 95934-95946 (2020) - [j29]Genc Hoxha, Farid Melgani, Begüm Demir:
Toward Remote Sensing Image Retrieval Under a Deep Image Captioning Perspective. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4462-4475 (2020) - [j28]Akshara Preethy Byju, Begüm Demir, Lorenzo Bruzzone:
A Progressive Content-Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives. IEEE Trans. Geosci. Remote. Sens. 58(8): 5739-5751 (2020) - [j27]Álvaro Ordóñez, Francisco Argüello, Dora B. Heras, Begüm Demir:
GPU-accelerated registration of hyperspectral images using KAZE features. J. Supercomput. 76(12): 9478-9492 (2020) - [c48]Hichame Yessou, Gencer Sumbul, Begüm Demir:
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification. IGARSS 2020: 1349-1352 - [c47]Jian Kang, Begüm Demir:
Band-Wise Multi-Scale CNN Architecture for Remote Sensing Image Scene Classification. IGARSS 2020: 1687-1690 - [c46]Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir:
S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. IGARSS 2020: 2515-2518 - [i11]Gencer Sumbul, Jian Kang, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir:
BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding. CoRR abs/2001.06372 (2020) - [i10]Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir:
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration. CoRR abs/2003.03440 (2020) - [i9]Gencer Sumbul, Jian Kang, Begüm Demir:
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives. CoRR abs/2004.01613 (2020) - [i8]Gencer Sumbul, Sonali Nayak, Begüm Demir:
SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning. CoRR abs/2006.08432 (2020) - [i7]Akshara Preethy Byju, Gencer Sumbul, Begüm Demir, Lorenzo Bruzzone:
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain. CoRR abs/2006.11529 (2020) - [i6]Hichame Yessou, Gencer Sumbul, Begüm Demir:
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification. CoRR abs/2009.13935 (2020) - [i5]Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir:
CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels. CoRR abs/2012.10715 (2020)
2010 – 2019
- 2019
- [j26]Thomas Reato, Begüm Demir, Lorenzo Bruzzone:
An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval. IEEE Geosci. Remote. Sens. Lett. 16(2): 276-280 (2019) - [j25]Mohamed Lamine Mekhalfi, Mesay Belete Bejiga, Davide Soresina, Farid Melgani, Begüm Demir:
Capsule Networks for Object Detection in UAV Imagery. Remote. Sens. 11(14): 1694 (2019) - [j24]Hoang Minh Nguyen, Begüm Demir, Michele Dalponte:
A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data. Remote. Sens. 11(24): 2948 (2019) - [j23]Ludovica De Gregorio, Mattia Callegari, Carlo Marin, Marc Zebisch, Lorenzo Bruzzone, Begüm Demir, Ulrich Strasser, Thomas Marke, Daniel Günther, Rudi Nadalet, Claudia Notarnicola:
A Novel Data Fusion Technique for Snow Cover Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2862-2877 (2019) - [j22]Pedro G. Bascoy, Pablo Quesada-Barriuso, Dora B. Heras, Francisco Argüello, Begüm Demir, Lorenzo Bruzzone:
Extended attribute profiles on GPU applied to hyperspectral image classification. J. Supercomput. 75(3): 1565-1579 (2019) - [c45]Gencer Sumbul, Begüm Demir:
A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification. IGARSS 2019: 5726-5729 - [c44]Genc Hoxha, Farid Melgani, Begüm Demir:
Retrieving Images with Generated Textual Descriptions. IGARSS 2019: 5812-5815 - [c43]Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding. IGARSS 2019: 5901-5904 - [c42]Hoang Minh Nguyen, Begüm Demir, Michele Dalponte:
Weighted Support Vector Machines for Tree Species Classification Using Lidar Data. IGARSS 2019: 6740-6743 - [i4]Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding. CoRR abs/1902.06148 (2019) - [i3]Gencer Sumbul, Begüm Demir:
A CNN-RNN Framework with a Novel Patch-Based Multi-Attention Mechanism for Multi-Label Image Classification in Remote Sensing. CoRR abs/1902.11274 (2019) - [i2]Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe:
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images. CoRR abs/1904.01258 (2019) - [i1]Kexin Zhang, Gencer Sumbul, Begüm Demir:
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks. CoRR abs/1912.06013 (2019) - 2018
- [j21]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2473-2490 (2018) - [j20]Bindita Chaudhuri, Begüm Demir, Subhasis Chaudhuri, Lorenzo Bruzzone:
Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method. IEEE Trans. Geosci. Remote. Sens. 56(2): 1144-1158 (2018) - [j19]Saeid Niazmardi, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni:
Multiple Kernel Learning for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1425-1443 (2018) - [c41]Konstantina Bereta, Manolis Koubarakis, Stefan Manegold, George Stamoulis, Begüm Demir:
From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data. CIKM 2018: 2293-2294 - [c40]Subhankar Roy, Enver Sangineto, Nicu Sebe, Begüm Demir:
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification. ICIP 2018: 684-688 - [c39]Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe:
Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images. IGARSS 2018: 4539-4542 - [c38]Mattia Callegari, Carlo Marin, Daniel Günther, Philipp Rastner, Lorenzo Bruzzone, Begüm Demir, Thomas Marke, Ulrich Strasser, Marc Zebisch, Claudia Notarnicola:
Integration of Remote Sensing with A Hydroclimatological Model for an Improved Monitoring of Alpine Glaciers. IGARSS 2018: 6239-6242 - [c37]Ludovica De Gregorio, Mattia Callegari, Carlo Marin, Marc Zebisch, Lorenzo Bruzzone, Begüm Demir, Ulrich Strasser, Daniel Günther, Thomas Marke, Claudia Notarnicola:
A Novel Data Fusion Technique for Snow Parameter Retrieval. IGARSS 2018: 6247-6250 - [c36]Issayas Tekeste, Begüm Demir:
Advanced Local Binary Patterns for Remote Sensing Image Retrieval. IGARSS 2018: 6855-6858 - 2017
- [c35]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of multi-label remote sensing images. IGARSS 2017: 1744-1747 - [c34]Thomas Reato, Begüm Demir, Lorenzo Bruzzone:
Primitive cluster sensitive hashing for scalable content-based image retrieval in remote sensing archives. IGARSS 2017: 2199-2202 - [c33]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of remote sensing images based on Bag of spectral values. SIU 2017: 1-4 - 2016
- [j18]Bindita Chaudhuri, Begüm Demir, Lorenzo Bruzzone, Subhasis Chaudhuri:
Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach. IEEE Geosci. Remote. Sens. Lett. 13(7): 987-991 (2016) - [j17]Begüm Demir, Lorenzo Bruzzone:
Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives. IEEE Trans. Geosci. Remote. Sens. 54(2): 892-904 (2016) - [j16]Begüm Demir, Lorenzo Bruzzone:
Histogram-Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 2096-2107 (2016) - [j15]Davide Castelletti, Luca Pasolli, Lorenzo Bruzzone, Claudia Notarnicola, Begüm Demir:
A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation. IEEE Trans. Geosci. Remote. Sens. 54(8): 4764-4774 (2016) - [c32]Saeid Niazmardi, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni:
A comparative study on Multiple Kernel Learning for remote sensing image classification. IGARSS 2016: 1512-1515 - [c31]Romano Battiti, Begüm Demir, Lorenzo Bruzzone:
Quad-tree based compressed histogram attribute profiles for classification of very high resolution images. IGARSS 2016: 3330-3333 - [c30]Fatih Omruuzun, Begüm Demir, Lorenzo Bruzzone, Yasemin Yardimci Çetin:
A novel content based hyperspectral image retrieval system based on bag of end members. SIU 2016: 1465-1468 - [c29]Fatih Omruuzun, Begüm Demir, Lorenzo Bruzzone, Yasemin Yardimci Çetin:
Content based hyperspectral image retrieval using bag of endmembers image descriptors. WHISPERS 2016: 1-4 - 2015
- [j14]Begüm Demir, Lorenzo Bruzzone:
A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 53(5): 2323-2334 (2015) - [c28]Begüm Demir, Lorenzo Bruzzone:
Fast and accurate image classification with histogram based features and additive kernel SVM. IGARSS 2015: 2350-2353 - [c27]Begüm Demir, Lorenzo Bruzzone:
Histogram based attribute profiles for classification of very high resolution remote sensing images. IGARSS 2015: 2393-2396 - [c26]Francesca Bovolo, Begüm Demir, Lorenzo Bruzzone:
A cluster-based appraoch to content based time series retrieval (CBTSR). IGARSS 2015: 2793-2796 - [c25]Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Claudia Notarnicola, Felix Greifeneder, Giovanni Cuozzo, Irene Nicolini, Begüm Demir, Lorenzo Bruzzone:
An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring. IGARSS 2015: 4137-4140 - [c24]Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Claudia Notarnicola, Felix Greifeneder, Giovanni Cuozzo, Irene Nicolini, Begüm Demir, Lorenzo Bruzzone:
Cosmo-SkyMed and RADARSAT2 image investigation for the monitoring of agricultural areas. SAR 2015: 964206 - [c23]Begüm Demir, Lorenzo Bruzzone:
A novel active learning method for content based remote sensing image retrieval. SIU 2015: 2130-2133 - 2014
- [j13]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
An Effective Strategy to Reduce the Labeling Cost in the Definition of Training Sets by Active Learning. IEEE Geosci. Remote. Sens. Lett. 11(1): 79-83 (2014) - [j12]Begüm Demir, Lorenzo Bruzzone:
A multiple criteria active learning method for support vector regression. Pattern Recognit. 47(7): 2558-2567 (2014) - [j11]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method. IEEE Trans. Geosci. Remote. Sens. 52(2): 1272-1284 (2014) - [c22]Begüm Demir, Lorenzo Bruzzone:
Kernel-based hashing for content-based image retrval in large remote sensing data archive. IGARSS 2014: 3542-3545 - [c21]Begüm Demir, Lorenzo Bruzzone:
Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method. SIU 2014: 1979-1982 - 2013
- [j10]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach. IEEE Trans. Geosci. Remote. Sens. 51(1): 300-312 (2013) - [j9]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Classification of Time Series of Multispectral Images With Limited Training Data. IEEE Trans. Image Process. 22(8): 3219-3233 (2013) - [c20]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Sequential cascade classification of image time series by exploiting multiple pairwise change detection. IGARSS 2013: 3946-3949 - [c19]Begüm Demir, Lorenzo Bruzzone:
An effective active learning method for interactive content-based retrieval in remote sensing images. IGARSS 2013: 4356-4359 - 2012
- [j8]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification. IEEE Trans. Geosci. Remote. Sens. 50(5-2): 1930-1941 (2012) - [c18]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
A novel system for classification of image time series with limited ground reference data. IGARSS 2012: 158-161 - [c17]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers. IGARSS 2012: 1781-1784 - [c16]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Low-cost updating of land-cover maps by classifiying multitemporal remote sensing images. SIU 2012: 1-4 - [c15]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
A genetic algorithm based cost-sensitive active learning technique for classification of remote sensing images. TyWRRS 2012: 153-158 - 2011
- [j7]Begüm Demir, Sarp Ertürk, M. Kemal Güllü:
Hyperspectral Image Classification Using Denoising of Intrinsic Mode Functions. IEEE Geosci. Remote. Sens. Lett. 8(2): 220-224 (2011) - [j6]Begüm Demir, Claudio Persello, Lorenzo Bruzzone:
Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 49(3): 1014-1031 (2011) - [c14]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Detection of land-cover transitions in multitemporal images with active-learning based compound classification. IGARSS 2011: 225-228 - 2010
- [j5]Begüm Demir, Sarp Ertürk:
Empirical Mode Decomposition of Hyperspectral Images for Support Vector Machine Classification. IEEE Trans. Geosci. Remote. Sens. 48(11): 4071-4084 (2010) - [c13]Begüm Demir, Sarp Ertürk:
Empirical mode decomposition based decision fusion for higher hyperspectral image classification accuracy. IGARSS 2010: 488-491
2000 – 2009
- 2009
- [j4]Begüm Demir, Sarp Ertürk:
Clustering-Based Extraction of Border Training Patterns for Accurate SVM Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 6(4): 840-844 (2009) - [j3]