HeightFormer: Single Imagery Height Estimation Transformer with Bilateral Feature Pyramid Fusion

IF 4 3区 地球科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Geoscience and Remote Sensing Letters Pub Date : 2024-09-16 DOI:10.1109/lgrs.2024.3461791
Jiangyan Wu, Mengke Yuan, Tong Wang, Xiaohong Jia, Dong-Ming Yan
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高度变换器具有双侧特征金字塔融合功能的单一图像高度估计变换器
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来源期刊
IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters 工程技术-地球化学与地球物理
CiteScore
7.60
自引率
12.50%
发文量
1113
审稿时长
3.4 months
期刊介绍: IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts. Papers should relate to the theory, concepts and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information. The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of "extended objects" or "multimedia" such as animations to enhance the shorter papers.
期刊最新文献
ResCount:A Residual Feature Fusion Network for Ship Counting in Remote Sensing Images High-Accuracy DOA Estimation of Coherent Signals Based on the Time-Space Mutual Correlation Smoothing HeightFormer: Single Imagery Height Estimation Transformer with Bilateral Feature Pyramid Fusion AFANet: A Multi-Backbone Compatible Feature Fusion Framework for Effective Remote Sensing Object Detection A Practical Method to Detect Evaporation Ducts Based on BDS-3 Signals Received by a Single Antenna
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