hyperspectral imaging

The Birth of the ‘Yuheng’ Chip! Tsinghua Team Successfully Develops

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[Image][Image]Spectroscopy records the intensity variations of light at different wavelengths, revealing the interaction between matter and light, which serves as the “optical key” for analyzing composition, structure, and properties. However, traditional spectral measurements are limited by the long-standing inherent contradiction between spectral resolution and imaging flux in spectroscopic acquisition and solidified structural measurements, which has … Read more

Compact Hyperspectral Optical Gas Sensors Integrated into Streetlights

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Compact Hyperspectral Optical Gas Sensors Integrated into Streetlights

According to MEMS Consulting, a research project in Europe is developing a palm-sized gas sensor and analyzer that can be installed on streetlights to detect various toxic gases in real-time. The project, named “PASSEPARTOUT,” is led by Munster Technological University in Ireland, with a total budget of 6.9 million euros, and is scheduled to conclude … Read more

Drone DIY Expert – Empowering Industry Applications

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Drone DIY Expert - Empowering Industry Applications

Engaged in the drone industry applications for nearly 10 years, introducing advanced domestic and international drone technologies. Through continuous exploration and learning, Jingjing Technology has accumulated rich capabilities in “drone + sensor” diverse applications, providing customized drone technology integration solutions to help users solve complex problems in applications. 01 Agricultural and Forestry Monitoring System Project … Read more

A New Method for Hyperspectral Recognition Integrating Local and Global Modeling: Plug-and-Play and Completely Crazy

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A New Method for Hyperspectral Recognition Integrating Local and Global Modeling: Plug-and-Play and Completely Crazy

Title: A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://github.com/chenpeng052/SCT-Net Twin-Branch Feature Extraction Module (TBFE): Parallel combination of3D Convolution (for spectral features) and2D Convolution (for spatial features), achieving spectral-spatial joint modeling early on. Hybrid Pooling Attention Module (HPA): Combines average pooling and max pooling to capture spatial dependencies through … Read more

Lightweight Hybrid Pooling Attention Mechanism: Plug-and-Play for Enhanced Performance

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Lightweight Hybrid Pooling Attention Mechanism: Plug-and-Play for Enhanced Performance

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://github.com/chenpeng052/SCT-Net Proposed a CNN-Transformer synergistic network, combining the local feature extraction capability of CNNs with the global modeling capability of Transformers. Designed a Twin-Branch Feature Extraction (TBFE) module, which uses 2D and 3D convolutions in parallel to extract spatial and spectral … Read more

Understanding Camera Mechanisms and Principles

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Understanding Camera Mechanisms and Principles

Reflecting on these years of work, having tasted the hardships of society, from having nothing at first to 300,000, from 300,000 to 2 million, from 2 million to 13 million, this is not a boast, I just want to tell my friends through my own experience that “the higher the pixel of the phone, the … Read more

LeafSpec-Dicot: A Portable Hyperspectral Imaging Device for Dicot Leaves

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LeafSpec-Dicot: A Portable Hyperspectral Imaging Device for Dicot Leaves

This article designs a new portable hyperspectral imaging device, LeafSpec-Dicot, for hyperspectral imaging of dicot leaves (such as soybean). The device can acquire a complete hyperspectral image of a dicot leaf in 20 seconds, with high spatial and spectral resolution. The data quality of the device is validated by detecting the nitrogen content of soybean … Read more