精品--遥感影像深度学习语义分割.zip资源-CSDN文库

共206个文件

py：150个

ui：22个

json：15个

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精品--遥感影像深度学习语义分割.zip （206个子文件）

activate 2KB

pyvenv.cfg 68B

activate.csh 1KB

中文标签.docx 9KB

manual.docx 4KB

activate.fish 2KB

semantic_segment_RSImage.iml 2KB

model.json 81KB

mlp_model.json 40KB

config_scrs_buildings.json 2KB

config_WHU_buildings.json 2KB

config_multiclass_manmade.json 2KB

config_multiclass_global.json 2KB

config.json 2KB

config_tuitiantu.json 2KB

config_pred_multiclass.json 648B

config_pred_WHU.json 628B

config_pred_tuitiantu.json 602B

config_pred_bieshu.json 598B

config_pred_scrsbuilings.json 598B

config_pred_multiclass_manmade.json 570B

config_pred.json 528B

lib64 3B

README.md 853B

scrslogo.png 25KB

mysrc_rc.py 102KB

modelTrainBackend.py 81KB

new_train_backend.py 57KB

semantic_segmentation_networks.py 41KB

batch_smooth_tiled_predictions.py 24KB

smooth_tiled_predictions.py 24KB

trainModels_implements.py 22KB

sampleProcess_backend.py 21KB

mobilenetv2.py 20KB

TrainBinaryCommon.py 20KB

mobilenet.py 19KB

preprocess_implements.py 17KB

TrainBinaryCrossentropy.py 17KB

TrainBinaryJaccardCrossentropy.py 17KB

TrainBinaryJaccard.py 16KB

TrainBinaryOnehot.py 16KB

TrainMulticlass.py 16KB

predict_backbone.py 16KB

inception_resnet_v2.py 16KB

inception_v3.py 15KB

SampleGenCommon.py 13KB

PredictBackend.py 13KB

segnet_train_binary.py 13KB

PredictMulticlassForSingleimage.py 13KB

SampleGenSelfAdapt.py 13KB

traindata_generate_bygdal.py 13KB

PredictMulticlassBatch.py 13KB

segnet_train_multiclass.py 12KB

MainWin.py 12KB

Unet_resnet_test.py 12KB

traindata_generate_common.py 12KB

PredictBinaryForSingleimage.py 12KB

PredictBinaryBatch.py 12KB

train_main.py 11KB

train_binary_jaccard_2.py 11KB

train_binary_onlyjaccard.py 11KB

train_binary_onlyjaccard_2.py 11KB

train_binary_notOneHot.py 11KB

unet_train_binary.py 11KB

test_1.py 11KB

train_binary_4orMorebands.py 11KB

train_binary_jaccard_4orMorebands.py 11KB

train_binary_onehot.py 11KB

train_binary_jaccard.py 11KB

traindata_generate_byCV.py 11KB

segnet_predict.py 11KB

unet_train_multiclass.py 10KB

train_multiclass_jaccard.py 10KB

train_multiclass.py 10KB

PostPrecessBackend.py 9KB

predict_implements.py 9KB

sample_produce_for_singleimage.py 9KB

fcn8_train_binary.py 9KB

AccuracyEvaluate.py 8KB

ImageStretch.py 8KB

ImageClip.py 8KB

main_gui.py 8KB

base_predict_functions.py 8KB

postProcess_implements.py 8KB

CombineMulticlassFromSingleModelResults.py 8KB

hist_process.py 8KB

predict_main_blocks.py 8KB

image_stretch.py 8KB

all_predict.py 8KB

batch_base_predict_functions.py 8KB

unet_train_qiwenchao.py 7KB

unet_predict.py 7KB

base_functions.py 7KB

label_check.py 6KB

predict_main.py 6KB

Unet_resnet.py 6KB

main.py 6KB

acc_evaluate.py 6KB

共 206 条

We use several semantic segmentation models to deal remote sensing images classifcation. Semantic segmentation networks:U-net,PSPNet, FPN, LinkNet, DeepLab V3+ Backones: VGG:'vgg16' 'vgg19' ResNet:'resnet18' 'resnet34' 'resnet50' 'resnet101' 'resnet152' SE-ResNet:'seresnet18' 'seresnet34' 'seresnet50' 'seresnet101' 'seresnet152' ResNeXt:'resnext50' 'resnext101' SE-ResNeXt:'seresnext50' 'seresnext101' SENet154:'senet154' DenseNet:'densenet121' 'densenet169' 'densenet201' Inception:'inceptionv3' 'inceptionresnetv2' MobileNet:'mobilenet' 'mobilenetv2' EfficientNet:'efficientnetb0' 'efficientnetb1' 'efficientnetb2' 'efficientnetb3' Requirements: tensorflow-gpu==1.9.0(only test on V1.9.0) keras>=2.2.4 keras_applications==1.0.7 image-classifiers==0.2.0 efficientnet>=0.0.3 cuda==9.0 qt==5.6 numpy==1.12.0 scipy==0.19.1 tqdm==4.11.2

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