文章名稱引用次數(shù)

• A new deep convolutional neural network for fast hyperspectral image classification72
• A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform55
• Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective48
• Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification42
• MugNet: Deep learning for hyperspectral image classification using limited samples40
• Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks38
• A light and faster regional convolutional neural network for object detection in optical remote sensing images32
• Cloud removal in remote sensing images using nonnegative matrix factorization and error correction29
• A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches27
• Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China26