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PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery

ISPRS Journal of Photogrammetry and Remote Sensing, 2021
Xian Sun, Peijin Wang, Cheng Wang
exaly  

Remote sensing imagery and its contents

1990
Cette présentation vise à donner un premier aperçu de ce qu'est une image de télédétection, du type d'information qu'elle contient et des moyens à mettre en oeuvre pour accéder à cette information. Compte tenu de l'étendue du sujet nous avons volontairement limité le cadre de notre exposé aux images satellitaires en ce qui concerne la nature des images,
Deshayes, M., Maurel, P.
openaire   +1 more source

Texture Features in Remote Sensing Imagery

1981
The remote-sensing main automatic approach is nowadays based on pixel radiometry and so necessarily incomplete as it takes no account of its environment. Our aim is to improve the real efficiency of spatial information (texture), the principle being that information derived from one pixel should be regarded as a “spectral-spatial” information pair.
openaire   +1 more source

Material segmentation of remote sensing imagery

Low-resolution remote sensing data makes it difficult to discern the composition of individual pixels, especially when isolated from their surroundings. This issue is accentuated by the limited and costly process of annotating this data, and high-resolution data is either publicly restricted, requires a significant time investment to provide meaning to
openaire   +1 more source

Adaptation of Diffusion Models for Remote Sensing Imagery

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Adriano Ettari   +4 more
openaire   +1 more source

Soil copper concentration map in mining area generated from AHSI remote sensing imagery

Science of the Total Environment, 2023
Weichao Sun, Kun Shang
exaly  

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