New Method Proposed by Software Institute to Enhance GAN Model Performance

New Method Proposed by Software Institute to Enhance GAN Model Performance

Recently, the research team of the National Key Laboratory of Space-Based Integrated Information System at the Software Institute had their paper Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation accepted by the top journal in the field of computer vision, the International Journal of Computer Vision (IJCV). The paper presents a … Read more

Position-Temporal Awareness Transformer for Remote Sensing Change Detection

Position-Temporal Awareness Transformer for Remote Sensing Change Detection

Click the above “Beginner’s Guide to Vision“, select to add “Star” or “Top“ Important content delivered at the first time A Position-Temporal Awareness Transformer for Remote Sensing Change Detection Position-Temporal Awareness Transformer for Remote Sensing Change Detection Authors: Yikun Liu, Kuikui Wang, Mingsong Li, Yuwen Huang, Gongping Yang Abstract With the development of deep learning, … Read more

Review Of Over 60 Transformer Studies In Remote Sensing

Review Of Over 60 Transformer Studies In Remote Sensing

MLNLP is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, as well as enthusiasts, … Read more

Extracting Winter Wheat Sowing Area in Henan Using Deep Learning

Extracting Winter Wheat Sowing Area in Henan Using Deep Learning

Wheat is one of the most important staple foods in China, and the sowing area and yield of wheat are directly related to national food security and social stability. At the same time, the sowing area of wheat is an important link in monitoring wheat growth and estimating yield. With the development of remote sensing … Read more

Deep Learning and SAR Applications

Deep Learning and SAR Applications

Click on the blue text above the image “Smart World” to subscribe Introduction Although it seems that the hype curve of deep learning has somewhat contracted (at this stage, the technology is still not mature, and the products are not yet refined, but the market has already heated up, and people’s expectations are very high.) … Read more

Deep Learning and Process Understanding for Earth System Science

Deep Learning and Process Understanding for Earth System Science

Deep learning and process understanding for data-driven Earth system science Markus Reichstein et al 2019 in Nature This is a review article that discusses the applications and challenges of machine learning in geosciences. The Earth system science has entered the era of big data. Earth system data is a typical big data, characterized by the … Read more

Understanding Remote Sensing Images with Deep Learning

Understanding Remote Sensing Images with Deep Learning

Qianming from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI The golf course, a long-standing high-end social venue, has a hidden cost: the invasion of resources and the environment. It not only occupies a large amount of land and consumes water resources but also uses a lot of chemical fertilizers and pesticides in maintaining … Read more

Using Classic CNN Methods to Build an Automatic Extraction Model for Road Elements in Guiyang

Using Classic CNN Methods to Build an Automatic Extraction Model for Road Elements in Guiyang

Using classic CNN methods to build an automatic extraction model for road elements in Guiyang She Zuoming, Shen Yongzhi, Song Jianhong, Xiang Yuchen Guiyang Surveying and Mapping Institute, Guiyang, Guizhou 550000 Keywords: CNN, Deep Learning, Road Extraction, Remote Sensing Interpretation Citation format: She Zuoming, Shen Yongzhi, Song Jianhong, et al. Using classic CNN methods to … Read more