Comparative Analysis of Faster R-CNN Models for Coconut Tree Detection: ResNet-101, MobileNetV2, VGG16

Author:

James Akash,Prasad JVD,Medasani Kushwanth Chandra,Kanikanti Vivek

Publisher

Elsevier BV

Reference10 articles.

1. Coconut trees detection on the Tenarunga using high-resolution satellite images and deep learning;G Zheng;2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS,2021

2. Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network;Muhammad Iqbal;IET Computer Vision,2021

3. Large-scale oil palm tree detection from highresolution remote sensing images using Faster-RCNN;Juepeng Zheng;IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium,2019

4. CNN TRANSFER LEARNING FOR DETECTION, COUNTING AND SEGMENTATION OF COCONUT PALMS FROM SATELLITE IMAGES;Niranjan D Gholba;ICTACT Journal on Image & Video Processing,2021

5. Detecting and Counting Coconut Trees in Pleiades Satellite Imagery using Histogram of Oriented Gradients and Support Vector Machine;Yudhi Prabowo;International Journal of Remote Sensing and Earth Sciences (IJReSES),2019

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