Results 41 to 50 of about 74,098 (264)

Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images

Remote Sensing, 2016
When using microwave remote sensing for land use/land cover (LULC) classifications, there are a wide variety of imaging parameters to choose from, such as wavelength, imaging mode, incidence angle, spatial resolution, and coverage.
Christoph Hütt, Wolfgang Koppe, Yuxin Miao, Georg Bareth   +3 more
doaj   +1 more source

Guided-Crop Image Augmentation for Small Defect Classification

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Trabajo presentado en la 26th International Conference on Pattern Recognition (ICPR), celebrada en Montreal (Canadá), del 21 al 25 de agosto de ...
Joan Orti, Francesc Moreno-Noguer, Vicenç Puig   +2 more
openaire   +3 more sources

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

Remote Sensing, 2018
A timely inventory of agricultural areas and crop types is an essential requirement for ensuring global food security and allowing early crop monitoring practices.
Kristof Van Tricht, Anne Gobin, Sven Gilliams, Isabelle Piccard   +3 more
doaj   +1 more source

Crop classification using PerceptiveSentinel

, 2019
Efficient and accurate classification of land cover and land usage can be utilized in many different ways: ranging from natural resource management, agriculture support to legal and economic processes support. In this article, we present an implementation of land cover classification using the PerceptiveSentinel platform. Apart from using base 13 bands,
Filip Koprivec, Matej Čerin, Klemen Kenda   +2 more
openaire   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Cross-Regional Crop Classification Based on Sentinel-2

Agronomy
Accurate crop classification is of vital importance for agricultural water management. Most researchers have achieved crop classification by model optimization in the same temporal and regional domain by adjusting the value of input features.
Jie He, Wenzhi Zeng, Chang Ao, Weimin Xing, Thomas Gaiser, Amit Kumar Srivastava   +5 more
doaj   +1 more source

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images

Remote Sensing, 2019
In recent years, analyzing Synthetic Aperture Radar (SAR) data has turned into one of the challenging and interesting topics in remote sensing. Radar sensors are capable of imaging Earth’s surface independently of the weather conditions, local time
Nima Teimouri, Mads Dyrmann, Rasmus Nyholm Jørgensen   +2 more
doaj   +1 more source

Crop Classification Based on the Physically Constrained General Model-Based Decomposition Using Multi-Temporal RADARSAT-2 Data

Remote Sensing, 2022
Crop identification and classification are of great significance to agricultural land use management. The physically constrained general model-based decomposition (PCGMD) has proven to be a promising method in comparison with the typical four-component ...
Qinghua Xie, Qi Dou, Xing Peng, Jinfei Wang, Juan M. Lopez-Sanchez, Jiali Shang, Haiqiang Fu, Jianjun Zhu   +7 more
doaj   +1 more source