(pred, y_test)

(y_score, y_test, color, method)

(self, input_tensors_input=None, input_tensors_label=None, prefix='metatrain_')

(self, h, w, dem, aspect, curvature, slope)

(X, y, figsavename)

(X, y, figsavename)

(X, y, figsavename)

(inp, weights, sess)

(self, h, w)

(inp, activation, reuse, scope)

(X, y, figsavename)

(predict_proba, x_train, x_test, f_name)

(self)

(self)

(y_score, y_test)

(tasks, regionname)

(gridpts_xy, taskpts, tifformat_path)

(self, data)

(self, num_clusters)

(self, loop=5)

(npzfile)

(self, h, w)

(HK_tasks)

(self)

(scenes, K, meanOA, maxOA, minOA, std)

(ori_X, inf_X, Y, regionname)

(self, fileName)

(file)

(self, filepath)

(self, im_geotrans, path)

(self, tiffile, savename)

(clusters, file)

(self, tiffile, savename, image_arr)

(model, saver, sess, exp_string, tasks, num_updates=5)

(model, saver, sess, exp_string, tasks, resume_itr)

(inputX, weights, bias, activations=tf.nn.relu)

(self)

(self, im_data, im_width, im_height, im_bands, im_geotrans, im_proj, path)

(x_train, y_train, x_test, y_test)

(x_train, x_test, y_train, y_test)

(x_train, x_test, y_train, y_test)

(x_train, x_test, y_train, y_test)

(self, h, w, dem, aspect, curvature, slope)

(self, filename, K, M)

(self, clusters)

(self)

(self)

(self, inp, weights, reuse=False)

(filepath, dim_input)

(fj_tasks, fl_tasks, mode=0)

(pred, label)

(n_times, y_score_SVM, y_score_MLP, y_score_DBN, y_score_RF, y_score_proposed, y_test, y_test_proposed)

(K, meanOA, maxOA, minOA, std, color_, label_, pos_)

(X_)

(path)

(file)

()

(pred, label)