FDA-FFNet: A Feature-Distance Attention-Based Change Detection Network for Remote Sensing Image

Convolutional neural networks have demonstrated remarkable capability in extracting deep semantic features from images, leading to significant advancements in various image processing tasks. This success has also opened up new possibilities for change detection (CD) in remote sensing applications. B...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
المؤلفون الرئيسيون: Wenguang Peng, Wenzhong Shi, Min Zhang, Lukang Wang
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2024-01-01
الموضوعات:
Attention-based
change detection (CD)
deep learning
deep supervision
multiscale feature
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10365491/

الانترنت

https://ieeexplore.ieee.org/document/10365491/

مواد مشابهة