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中国地质大学科学技术发展院童伟(硕士研究生)，陈伟涛*，王力哲* 等，计算机学院. Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2020). Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification
智能；获取；遥感敏感特征；遥感；场景分类；关键技术；瓶颈
2021/10/15
近日，对地观测领域国际重要期刊《Journal of Selected Topics in Applied Earth Observations and Remote Sensing》刊发了中国地质大学计算机学院遥感智能解译团队的研究成果——“Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classi...
A NOVEL FRAMEWORK FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION
Scene Classification Deep Learning Convolutional Neural Network Fully-connected Layer XGBoost
2018/5/14
High resolution remote sensing (HRRS) images scene classification aims to label an image with a specific semantic category. HRRS images contain more details of the ground objects and their spatial dis...
Point cloud segmentation for urban scene classification
Segmentation Classification Point cloud Urban Airborne Filtering
2014/4/22
High density point clouds of urban scenes are used to identify object classes like buildings, vegetation, vehicles, ground, and water. Point cloud segmentation can support classification and further f...
RANDOM FORESTS BASED MULTIPLE CLASSIFIER SYSTEM FOR POWER-LINE SCENE CLASSIFICATION
LIDAR Classification Corridor Mapping Random Forests Multiple Classifier System Power-line
2014/6/5
The increasing use of electrical energy has yielded more necessities of electric utilities including transmission lines and electric pylons which require a real-time risk monitoring to prevent massive...