Remote sensing image retrieval by integrating automated deep feature extraction and handcrafted features using curvelet transform-Reference-Cited by-同舟云学术

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Remote sensing image retrieval by integrating automated deep feature extraction and handcrafted features using curvelet transform

Published:2021-01-13 Issue:01 Volume:15 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Devulapalli Sudheer¹,Krishnan Rajakumar¹

Affiliation:

1. Vellore Institute of Technology, School of Computer Science and Engineering, Katpadi, Vellore

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

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2. Enhancing Fine-Grained Image Recognition with Multi-Channel Self-Attention Mechanisms: A Focus on Fruit Fly Species Classification;Applied Sciences;2024-06-20

3. Adaptive Multi-Hash Similarity Fusion for Remote Sensing Image Retrieval;2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS);2024-04-12

4. Assessing heterogeneous groundwater systems: Geostatistical interpretation of well logging data for estimating essential hydrogeological parameters;Scientific Reports;2024-03-27

5. A deep inverse convolutional neural network-based semantic classification method for land cover remote sensing images;Scientific Reports;2024-03-27

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