Neural Network Activation Function!

Taxonomy of self-evolving AI agents github.com/EvoAgentX/Awes…

👉👉 DAMF-Net: Unsupervised Domain-Adaptive #Multimodal #Feature #Fusion Method for Partial #PointCloud Registration ✍️ Haixia Zhao et al. 🔗 brnw.ch/21x036C

👉👉 Cross-Visual Style #Change #Detection for Remote Sensing Images via Representation Consistency #Deep Supervised #Learning ✍️ Jinjiang Wei et al. 🔗 brnw.ch/21x05EU

👉👉 #Radar #Signal #Classification with Multi-Frequency Multi-Scale Deformable #Convolutional Networks and Attention Mechanisms ✍️ Ruofei Liang and Yigang Cen 🔗 brnw.ch/21x05Gy

🖼️🖼️ Evaluation of Ten #DeepLearning-Based Out-of-Distribution Detection Methods for Remote Sensing #Image #Scene #Classification ✍️ Sicong Li et al. 🔗 brnw.ch/21x07kH

👋👋 #Polarized #Bidirectional #Reflectance Distribution Function Matrix Derived from Two-Scale Roughness Theory and Its Applications in #Active #RemoteSensing ✍️ Lingli He et al. 🔗 brnw.ch/21x07le

3D Terrain (Elevation Map) in Python Python for GIS & Spatial Intelligence pythonclcoding.gumroad.com/l/Python-For-G…

👋👋 Zero-Shot Sketch-Based #RemoteSensing #Image #Retrieval Based on Multi-Level and Attention-Guided #Tokenization ✍️ Bo Yang et al. 🔗 brnw.ch/21x08UR

🌊 For #Floods on areas partially covered with clouds Fusion of Sentinel 2 (Optic) + 1 (Radar) on same image: Free code (for saving and sharing): ➡️ link.dataspace.copernicus.eu/ww2z Copernicus EU European Space Agency Adapted after 🙏 Pierre Markuse at custom-scripts.sentinel-hub.com/data-fusion/s2…

Adds OCR layers to PDFs github.com/ocrmypdf/OCRmy…

I analyzed the satellite map using Nano Banana to create a forest cover mask. It's not perfect, but it can solve some problems.

#Computer #Vision answers what. #GeoAI answers what, where, how big, and why it matters.. #GeoAI integrates #computer #vision with #spatial #intelligence to enable location-awareness

🖼️🖼️ #Image Characteristic-Guided #Learning Method for #RemoteSensing Image #Inpainting ✍️ Ying Zhou et al. 🔗 brnw.ch/21x0dhW

30 AI algorithms that power modern AI 👇 📊 Linear & Logistic Regression 🌲 Random Forest ⚡ XGBoost 🎯 SVM 🔍 k-Means / DBSCAN 📉 PCA / t-SNE 🎮 Q-Learning / DQN 🧠 ANN / CNN / RNN / LSTM 🔁 Transformers 🧬 Genetic Algorithms Master the foundations → master AI.

👋👋 OPT-SAR-MS2Net: A Multi-Source Multi-Scale #Siamese Network for Land #Object #Classification Using #RemoteSensing Images ✍️ Wei Hu et al. 🔗 brnw.ch/21x0fGW

See the world as it is today and in the past! 🌎 Any area on Earth As recent as the same day Filters that uncover hidden detail Free for anyone to use and explore Satellite Imagery is now in all our hands: soaratlas.com/satellites 👈

How do the forests in your home town grow? 🌲 We just released ECHOSAT — the first global tree height map at 10 m resolution tracking forest dynamics from 2018 to 2024. 🔗 arxiv.org/abs/2602.21421 🔗 janpauls.org/projects/echos…

ECHOSAT: Estimating Canopy Height Over Space And Time

🌾🌾 RiceStageSeg: A Multimodal Benchmark #Dataset for Semantic #Segmentation of #Rice Growth Stages ✍️ Jianping Zhang et al. 🔗 brnw.ch/21x0hsP