🤔 Curious about the techniques used for detecting wildfires? This videos a part of the course: “Advanced Techniques in Wildfire Management: Remote Sensing, 🛰️ Satellite Imagery and Artificial Intelligence.'' 👉 This part of the tutorial focuses on investigating the diverse techniques employed in acquiring and processing images for wildfire detection using remote sensing and satellite imagery. ✅ Understanding these methods enables proficient analysis for effective wildfire detection. The video tutorial is part of the TREEADS project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036926. 🔥 Watch the video here: https://lnkd.in/dMWNm2Je 📩 Don't forget to subscribe: rb.gy/z57dfz #INNOVACTS #TREEADS #WildfireManagement #Innovation
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🖼️🖼️ MCAFNet: A Multiscale Channel Attention #Fusion #Network for Semantic #Segmentation of Remote Sensing #Images ✍️ Min Yuan et al. 🔗 https://brnw.ch/21wP6Mv
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GIS Engineer @ Alqotr | Master's degree in GIS and RS | GIS/RS analyst | GIS/RS specialist | QC | Coordinator | Esri Certified | ITI Geo-informatics Graduate | CPM® | McKinsey Forward®
Unlocking the Secrets of Remote Sensing: Extracting Thematic Information from Digital Images 🛰️ Today's lecture delved into the fascinating world of extracting meaningful thematic information from digital images, particularly those captured by remote sensing technologies. Key Takeaways: - Understanding Spectral Signatures: Recognizing how different Earth materials reflect and absorb electromagnetic radiation, creating unique "spectral signatures" that can be used for identification. - The Importance of Spatial and Temporal Characteristics: Understanding how factors like spatial resolution, acquisition date, and frequency of coverage influence image interpretation and data analysis. - Image Processing Techniques: Exploring key techniques like image arithmetic (e.g., band ratios, vegetation indices) to enhance image information and improve classification accuracy. Image Classification Methods: Learning about supervised and unsupervised classification techniques for categorizing pixels and generating thematic maps. By mastering these concepts, you'll be well-equipped to effectively utilize remote sensing data for a wide range of applications, from environmental monitoring and resource management to urban planning and disaster response. #GIS #RemoteSensing #ImageInterpretation #ThematicMapping #SpatialAnalysis #SpectralSignatures #ImageProcessing #Classification #DataAnalysis #Lecture #GISEducation
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Webinar on Digital Image Processing in Remote Sensing ==================================== Date: 11 January, 2025 (Saturday) Time: 3.30 pm - 5.30 pm *** Seats are limited on first comes first basis Registration link: https://lnkd.in/gCXWAPDh Registration deadline: 10-01-2025 #remotesensing #imageprocessing #dataprocessing #spaceexploration #EarthObservation #webinar #SERC #Bangladesh
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
🌍 Exciting new blog post alert! Learn about the cutting-edge deep-learning model, GeoBind, which can simultaneously infer text, images, and audio from satellite imagery. This innovative approach presents a versatile and efficient way of modeling multiple modalities for a given geographic location. Check out the full post here: https://bit.ly/49YCieJ. #DeepLearning #SatelliteImagery #Innovation
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🖼️🖼️ SERNet: Squeeze and Excitation Residual #Network for Semantic #Segmentation of #HighResolution Remote Sensing #Images ✍️ Xiaoyan Zhang et al. 🔗 https://brnw.ch/21wPHbJ
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Driven Civil Engineering Final Year BTech Student | Internship cum job at City Constructie Pvt Ltd.
"Excited to share my completion of the Remote Sensing/Digital Image Processing course at Athira Geo Spatial Services Private Limited! Ready to leverage these expert skills in analyzing and interpreting satellite imagery for innovative solutions. #RemoteSensing #ImageProcessing #AthiraGeoSpatial"
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👉👉 A Universal #Landslide #Detection Method in Optical Remote Sensing #Images Based on Improved #YOLOX ✍️ Heyi Hou et al. 🔗 https://brnw.ch/21wPwyL
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#11 Seg-Eval Choosing the proper ground sampling distance is a pivotal decision in remote sensing downstream applications. In this work, the authors try to set out a clear ensemble of guidelines for fairly comparing semantic segmentation results obtained at various spatial resolutions. They also propose region-based pixel-wise metrics, allowing for a more detailed analysis of the model performance. what I liked: very practical and important problem paper: https://lnkd.in/gFfUE35v #50papers #AI4EO #remotesensing #deeplearning #GeoAI
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