Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techni
A lightweight Python package for interactive mapping with Earth Engine and folium pythonjupytergeospatialgistutorialspython-apijupyter-notebooksfoliumgoogle-earth-enginegeeremotesensingearth-engine UpdatedSep 7, 2023 Python deeplearningremotesensinggeoai ...
近日,四川大学水利水电学院的孙向阳副研究员,在SCI环境科学期刊《Remote Sensing of Environment》(IF=11.1)发表题为“Spatial and temporal dynamics of plant water source distribution in China”研究论文,揭示了中国植物水源分布的时空动态! 论文信息: Hongjiang Chen, Genxu Wang, Juying Sun, Li Guo, Chunlin ...
Koskikala, Joni; Kukkonen, Markus; Käyhkö, Niina (2020).Mapping Natural Forest Remnants with Multi-Source and Multi-Temporal Remote Sensing Data for More Informed Management of Global Biodiversity Hotspots. Remote Sensing, 12(9), 1429–.doi:10.3390/rs12091429 往期回顾 32篇深度学习与遥...
Some Useful Tools for Object Detection in Remote Sensing Imagery. 一些遥感图像目标检测的实用代码及工具,不断更新中... object-detectionremote-sensing-image UpdatedAug 4, 2020 Python A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection...
European Journal of Remote Sensing目前针对主题Earth Observation for Future Agriculture: from Data to Services(未来农业的地球观测:从数据到服务)筹备特刊中,稿件火热征集中! 投稿截止日期:2023年3月30日 European Journal of Remote Sensing 目前针对主题Earth Observation for Future Agriculture: from Data to Serv...
This study aims to develop a deep learning model to improve the accuracy of identifying tiny targets on high resolution remote sensing (HRS) images. We propose a novel multi-level weighted depth perception network, which we refer to as MwdpNet, to better capture feature information of tiny tar...
Recently, the scenes in large high-resolution remote sensing (HRRS) datasets have been classified using convolutional neural network (CNN)-based methods. Such methods are well-suited for spatial feature extraction and can classify images with relatively high accuracy. However, CNNs do not adequately...
While one of the larger remote sensing image captioning datasets, this dataset contains very repetitive language with little detail and many captions are duplicated. The dataset can be downloaded (0.57GB) using scripts/download_rsicd.sh and instantiated below: import torchvision.transforms as T from...
A Decoupling Paradigm with Prompt Learning for Remote Sensing Image Change Captioning Chenyang Liu,Rui Zhao,Jianqi Chen,Zipeng Qi,Zhengxia Zou, andZhenwei Shi*✉ Welcome to our repository! This repository contains the PyTorch implementation of our PromptCC model in the paper: "A Decoupling Paradi...